1.
Protein Data Bank
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The Protein Data Bank is a crystallographic database for the three-dimensional structural data of large biological molecules, such as proteins and nucleic acids. The PDB is overseen by a called the Worldwide Protein Data Bank. The PDB is a key resource in areas of structural biology, most major scientific journals, and some funding agencies, now require scientists to submit their structure data to the PDB. Many other databases use protein structures deposited in the PDB, for example, SCOP and CATH classify protein structures, while PDBsum provides a graphic overview of PDB entries using information from other sources, such as Gene ontology. By 1971, one of Meyers programs, SEARCH, enabled researchers to access information from the database to study protein structures offline. SEARCH was instrumental in enabling networking, thus marking the beginning of the PDB. Upon Hamiltons death in 1973, Tom Koeztle took over direction of the PDB for the subsequent 20 years, in January 1994, Joel Sussman of Israels Weizmann Institute of Science was appointed head of the PDB. In October 1998, the PDB was transferred to the Research Collaboratory for Structural Bioinformatics, the new director was Helen M. Berman of Rutgers University. In 2003, with the formation of the wwPDB, the PDB became an international organization, the founding members are PDBe, RCSB, and PDBj. Each of the four members of wwPDB can act as deposition, data processing, the data processing refers to the fact that wwPDB staff review and annotate each submitted entry. The data are automatically checked for plausibility. The PDB database is updated weekly, likewise, the PDB holdings list is also updated weekly. As of 14 March 2017, the breakdown of current holdings is as follows,103,514 structures in the PDB have a structure factor file,9,057 structures have an NMR restraint file. 2,826 structures in the PDB have a chemical shifts file, therefore, the final conformation of the protein is obtained, in the latter case, by solving a distance geometry problem. A few proteins are determined by cryo-electron microscopy, the significance of the structure factor files, mentioned above, is that, for PDB structures determined by X-ray diffraction that have a structure file, the electron density map may be viewed. The data of such structures is stored on the electron density server, however, since 2007, the rate of accumulation of new protein structures appears to have plateaued. The file format used by the PDB was called the PDB file format. This original format was restricted by the width of computer punch cards to 80 characters per line, around 1996, the macromolecular Crystallographic Information file format, mmCIF, which is an extension of the CIF format started to be phased in
2.
GeneCards
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GeneCards is a database of human genes that provides genomic, proteomic, transcriptomic, genetic and functional information on all known and predicted human genes. It is being developed and maintained by the Crown Human Genome Center at the Weizmann Institute of Science and this database aims at providing a quick overview of the current available biomedical information about the searched gene, including the human genes, the encoded proteins, and the relevant diseases. The GeneCards database provides access to free Web resources about more than 7000 all known human genes that integrated from >90 data resources, such as HGNC, Ensembl, the core gene list is based on approved gene symbols published by the HUGO Gene Nomenclature Committee. The information are carefully gathered and selected from these databases by the powerful, over time, the GeneCards database has developed a suite of tools that has more specialised capability. Since 1998, the GeneCards database has been used by bioinformatics, genomics. Since the 1980s, sequence information has become abundant, many laboratories realized this. However, the information provided by the sequence databases focus on different aspect. To gather these scattered data, The Weizmann Institute of Science Crown Human Genome Centre developed a database called ‘GeneCards’ in 1997 and this database mainly deals with the human genome information, human genes, the encoded proteins’ functions, and the related diseases. At first, it includes two main features, the function to get integrated biomedical information about certain gene in ‘card’ format. Currently, the version 3 gather information from more than 90 database resources based on a consolidated gene list and it has developed a set of GeneCards suit, which are focus one more specific purposes. Nearly every 3 years life cycle, a new planning phase for subsequent revision will start, including implementation, development and semi-automated quality assurance, and deployment. Technologies used include Eclipse, Apache, Perl, XML, PHP, Propel, Java, R and MySQL. genecards. org/, annotation combinatory, Using GeneDecks, one can get a set of similar genes for a particular gene with a selected combinatorial annotation. The summary table result in ranking the different level of similarity between the genes and the probe gene. Annotation unification, Different data source often offer annotations with heterogeneous naming system, annotation unification of GeneDecks is based on the similarity in GeneCards gene-content space detection algorithms. Partner hunting, In GeneDecks’s Partner Hunter, users give a query gene, Set distillation, In Set distiller, users give a set of genes, and the system ranks attributes by their degree of sharing within a given gene set. GeneALaCart is a gene-set-orientated batch-querying engine based on the popular GeneCards database and it allows retrieval of information about multiple genes in a batch query. The GeneLoc suit member presents a human chromosome map, which is very important for designing a custom-made capture chip. GeneLoc includes further links to GeneCards, NCBIs Human Genome Sequencing, UniGene, firstly, enter what you want to search into the blank on the homepages
3.
Chromosome
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A chromosome is a DNA molecule with part or all of the genetic material of an organism. Prokaryotes usually have one single circular chromosome, whereas most eukaryotes are diploid, chromosomes in eukaryotes are composed of chromatin fiber. Chromatin fiber is made of nucleosomes, a nucleosome is a histone octamer with part of a longer DNA strand attached to and wrapped around it. Chromatin fiber, together with associated proteins is known as chromatin, chromatin is present in most cells, with a few exceptions, for example, red blood cells. Occurring only in the nucleus of cells, chromatin contains the vast majority of DNA, except for a small amount inherited maternally. Chromosomes are normally visible under a microscope only when the cell is undergoing the metaphase of cell division. Before this happens every chromosome is copied once, and the copy is joined to the original by a centromere resulting in an X-shaped structure, the original chromosome and the copy are now called sister chromatids. During metaphase, when a chromosome is in its most condensed state, in this highly condensed form chromosomes are easiest to distinguish and study. In prokaryotic cells, chromatin occurs free-floating in cytoplasm, as these cells lack organelles, the main information-carrying macromolecule is a single piece of coiled double-helix DNA, containing many genes, regulatory elements and other noncoding DNA. The DNA-bound macromolecules are proteins that serve to package the DNA, chromosomes vary widely between different organisms. Some species such as certain bacteria also contain plasmids or other extrachromosomal DNA and these are circular structures in the cytoplasm that contain cellular DNA and play a role in horizontal gene transfer. Chromosomal recombination during meiosis and subsequent sexual reproduction plays a significant role in genetic diversity. In prokaryotes and viruses, the DNA is often densely packed and organized, in the case of archaea, by homologs to eukaryotic histones, small circular genomes called plasmids are often found in bacteria and also in mitochondria and chloroplasts, reflecting their bacterial origins. Some use the term chromosome in a sense, to refer to the individualized portions of chromatin in cells. However, others use the concept in a sense, to refer to the individualized portions of chromatin during cell division. The word chromosome comes from the Greek χρῶμα and σῶμα, describing their strong staining by particular dyes, schleiden, Virchow and Bütschli were among the first scientists who recognized the structures now so familiar to everyone as chromosomes. The term was coined by von Waldeyer-Hartz, referring to the term chromatin, in a series of experiments beginning in the mid-1880s, Theodor Boveri gave the definitive demonstration that chromosomes are the vectors of heredity. His two principles were the continuity of chromosomes and the individuality of chromosomes and it is the second of these principles that was so original
4.
Chromosome 4 (human)
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Chromosome 4 is one of the 23 pairs of chromosomes in humans. People normally have two copies of this chromosome, chromosome 4 spans more than 186 million base pairs and represents between 6 and 6.5 percent of the total DNA in cells. Identifying genes on each chromosome is an area of genetic research. Because researchers use different approaches to genome annotation their predictions of the number of genes on each chromosome varies, in January 2017, two estimates differed by 12%, with one estimate giving 2,441 genes, and the other estimate giving 2,164 genes. The chromosome is ~191 megabases in length, in a 2012 paper, seven hundred and fifty seven protein encoding genes were identified on this chromosome. Two-hundred and eleven of these coding sequences did not have any evidence at the protein level. Two-hundred and seventy one appear to be membrane proteins, fifty-four have been classified as cancer associated proteins. k. a
5.
Locus (genetics)
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A locus in genetics is the position on a chromosome. Each chromosome carries many genes, humans estimated haploid protein coding genes are 19, 000-20,000, a variant of the similar DNA sequence located at a given locus is called an allele. The ordered list of known for a particular genome is called a gene map. Gene mapping is the process of determining the locus for a biological trait. The chromosomal locus of a gene might be written 3p22.1, here 3 means chromosome 3, p means p-arm. And 22 refers to region 2, band 2 and this is read as two two, not as twenty-two. So the entire locus is read as three P two two point one, the cytogenetic bands are counting from the centromere out toward the telomeres. A range of loci is specified in a similar way. For example, the locus of gene OCA1 may be written 11q1. 4-q2.1, meaning it is on the arm of chromosome 11. The ends of a chromosome are labeled pter and qter, a centisome is defined as 1% of a chromosome length. Chromosomal translocation Cytogenetic notation Karyotype Null allele Michael, R. Cummings, belmont, California, Brooks/Cole Overview at ornl. gov Chromosome Banding and Nomenclature from NCBI
6.
Base pair
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A base pair is a unit consisting of two nucleobases bound to each other by hydrogen bonds. They form the blocks of the DNA double helix. Dictated by specific hydrogen bonding patterns, Watson-Crick base pairs allow the DNA helix to maintain a regular helical structure that is dependent on its nucleotide sequence. The complementary nature of this structure provides a backup copy of all genetic information encoded within double-stranded DNA. Many DNA-binding proteins can recognize specific base pairing patterns that identify particular regulatory regions of genes, intramolecular base pairs can occur within single-stranded nucleic acids. The size of a gene or an organisms entire genome is often measured in base pairs because DNA is usually double-stranded. Hence, the number of base pairs is equal to the number of nucleotides in one of the strands. The haploid human genome is estimated to be about 3.2 billion bases long and to contain 20, a kilobase is a unit of measurement in molecular biology equal to 1000 base pairs of DNA or RNA. The total amount of related DNA base pairs on Earth is estimated at 5.0 x 1037, in comparison, the total mass of the biosphere has been estimated to be as much as 4 TtC. Hydrogen bonding is the interaction that underlies the base-pairing rules described above. Appropriate geometrical correspondence of hydrogen donors and acceptors allows only the right pairs to form stably. Purine-pyrimidine base pairing of AT or GC or UA results in proper duplex structure, the only other purine-pyrimidine pairings would be AC and GT and UG, these pairings are mismatches because the patterns of hydrogen donors and acceptors do not correspond. The GU pairing, with two bonds, does occur fairly often in RNA. Higher GC content results in higher melting temperatures, it is, therefore, on the converse, regions of a genome that need to separate frequently — for example, the promoter regions for often-transcribed genes — are comparatively GC-poor. GC content and melting temperature must also be taken into account when designing primers for PCR reactions, the following DNA sequences illustrate pair double-stranded patterns. By convention, the top strand is written from the 5 end to the 3 end, thus and this is due to their isosteric chemistry. One common mutagenic base analog is 5-bromouracil, which resembles thymine, most intercalators are large polyaromatic compounds and are known or suspected carcinogens. Examples include ethidium bromide and acridine, an unnatural base pair is a designed subunit of DNA which is created in a laboratory and does not occur in nature
7.
Gene expression
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Gene expression is the process by which information from a gene is used in the synthesis of a functional gene product. These products are proteins, but in non-protein coding genes such as transfer RNA or small nuclear RNA genes. The process of gene expression is used by all known life—eukaryotes, prokaryotes, several steps in the gene expression process may be modulated, including the transcription, RNA splicing, translation, and post-translational modification of a protein. Gene regulation gives the cell control over structure and function, and is the basis for differentiation, morphogenesis. In genetics, gene expression is the most fundamental level at which the genotype gives rise to the phenotype, the genetic code stored in DNA is interpreted by gene expression, and the properties of the expression give rise to the organisms phenotype. Such phenotypes are expressed by the synthesis of proteins that control the organisms shape. Regulation of gene expression is critical to an organisms development. A gene is a stretch of DNA that encodes information, genomic DNA consists of two antiparallel and reverse complementary strands, each having 5 and 3 ends. This RNA is complementary to the template 3 →5 DNA strand, therefore, the resulting 5 →3 RNA strand is identical to the coding DNA strand with the exception that thymines are replaced with uracils in the RNA. A coding DNA strand reading ATG is indirectly transcribed through the non-coding strand as AUG in RNA, in prokaryotes, transcription is carried out by a single type of RNA polymerase, which needs a DNA sequence called a Pribnow box as well as a sigma factor to start transcription. RNA polymerase I is responsible for transcription of ribosomal RNA genes, RNA polymerase II transcribes all protein-coding genes but also some non-coding RNAs. Pol II includes a C-terminal domain that is rich in serine residues, when these residues are phosphorylated, the CTD binds to various protein factors that promote transcript maturation and modification. RNA polymerase III transcribes 5S rRNA, transfer RNA genes, transcription ends when the polymerase encounters a sequence called the terminator. These include 5 capping, which is set of reactions that add 7-methylguanosine to the 5 end of pre-mRNA. The m7G cap is then bound by cap binding complex heterodimer, another modification is 3 cleavage and polyadenylation. They occur if polyadenylation signal sequence is present in pre-mRNA, which is usually between protein-coding sequence and terminator, the pre-mRNA is first cleaved and then a series of ~200 adenines are added to form poly tail, which protects the RNA from degradation. Poly tail is bound by multiple poly-binding proteins necessary for mRNA export, a very important modification of eukaryotic pre-mRNA is RNA splicing. The majority of eukaryotic pre-mRNAs consist of alternating segments called exons and introns, in certain cases, some introns or exons can be either removed or retained in mature mRNA
8.
Homology (biology)
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In biology, homology is the existence of shared ancestry between a pair of structures, or genes, in different taxa. Evolutionary biology explains homologous structures adapted to different purposes as the result of descent with modification from a common ancestor, examples include the legs of a centipede, the maxillary palp and labial palp of an insect, and the spinous processes of successive vertebrae in a vertebral column. Sequence homology between protein or DNA sequences is defined in terms of shared ancestry. Two segments of DNA can have shared ancestry because of either an event or a duplication event. Homology among proteins or DNA is inferred from their sequence similarity, significant similarity is strong evidence that two sequences are related by divergent evolution from a common ancestor. Alignments of multiple sequences are used to discover the homologous regions, the word homology, coined in about 1656, derives from the Greek ὁμόλογος homologos from ὁμός homos same and λόγος logos relation. Homology is the relationship between biological structures or sequences that are derived from a common ancestor, for example, many insects possess two pairs of flying wings. In beetles, the first pair of wings has evolved into a pair of hard wing covers, the same major forearm bones are found in fossils of lobe-finned fish such as Eusthenopteron. The opposite of homologous organs are analogous organs which do similar jobs in two taxa that were not present in their last common ancestor but rather evolved separately. For example, the wings of insects and birds evolved independently in widely separated groups, similarly, the wings of a sycamore maple seed and the wings of a bird are analogous but not homologous, as they develop from quite different structures. A structure can be homologous at one level, but only analogous at another, for example, in the pterosaurs, the wing involves both the forelimb and the hindlimb. Analogy is called homoplasy in cladistics, and convergent or parallel evolution in evolutionary biology, specialised terms are used in taxonomic research. Primary homology is that initially conjectured by a researcher based on similar structure or anatomical connections, secondary homology is implied by parsimony analysis, where a character that only occurs once on a tree is taken to be homologous. As implied in this definition, many cladists consider homology to be synonymous with synapomorphy, homologies provide the fundamental basis for all biological classification, although some may be highly counter-intuitive. The homologies between these have been discovered by comparing genes in evolutionary developmental biology, among insects, the stinger of the female honey bee is a modified ovipositor, homologous with ovipositors in other insects such as the Orthoptera, Hemiptera, and those Hymenoptera without stingers. The three small bones in the ear of mammals including humans, the malleus, incus. The malleus and incus develop in the embryo from structures that form jaw bones in lizards, both lines of evidence show that these bones are homologous, sharing a common ancestor. Among the many homologies in mammal reproductive systems, ovaries and testicles are homologous, in many plants, defensive or storage structures are made by modifications of the development of primary leaves, stems, and roots
9.
Entrez
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The name Entrez was chosen to reflect the spirit of welcoming the public to search the content available from the NLM. Entrez Global Query is a search and retrieval system that provides access to all databases simultaneously with a single query string. Entrez can efficiently retrieve related sequences, structures, and references, the Entrez system can provide views of gene and protein sequences and chromosome maps. Some textbooks are available online through the Entrez system. The Entrez front page provides, by default, access to the global query, all databases indexed by Entrez can be searched via a single query string, supporting boolean operators and search term tags to limit parts of the search statement to particular fields. This returns a unified results page, that shows the number of hits for the search in each of the databases, Entrez also provides a similar interface for searching each particular database and for refining search results. The Limits feature allows the user to narrow a search a web forms interface, the History feature gives a numbered list of recently performed queries. Results of previous queries can be referred to by number and combined via boolean operators, search results can be saved temporarily in a Clipboard. Users with a MyNCBI account can save queries indefinitely and also choose to have updates with new search results e-mailed for saved queries of most databases and it is widely used in the field of biotechnology as a reference tool for students and professionals alike. Entrez searches the following databases, PubMed, biomedical literature citations and abstracts, including Medline - articles from journals, in addition to using the search engine forms to query the data in Entrez, NCBI provides the Entrez Programming Utilities for more direct access to query results. The eUtils are accessed by posting specially formed URLs to the NCBI server, there was also an eUtils SOAP interface which was terminated on July 2015. In 1991, entrez was introduced in CD form, in 1993, a client-server version of the software provided connectivity with the internet. In 1994, NCBI established a website, and Entrez was a part of initial release. In 2001, Entrez bookshelf was released and in 2003, the Entrez Gene database was developed, Entrez search engine form Entrez Help
10.
Ensembl genome database project
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Ensembl is one of several well known genome browsers for the retrieval of genomic information. Similar databases and browsers are found at NCBI and the University of California, the human genome consists of three billion base pairs, which code for approximately 20, 000–25,000 genes. However the genome alone is of use, unless the locations. One option is manual annotation, whereby a team of scientists tries to locate genes using experimental data from scientific journals, however this is a slow, painstaking task. The alternative, known as automated annotation, is to use the power of computers to do the complex pattern-matching of protein to DNA. In the Ensembl project, sequence data are fed into the gene annotation system which creates a set of predicted gene locations and saves them in a MySQL database for subsequent analysis, Ensembl makes these data freely accessible to the world research community. All the data and code produced by the Ensembl project is available to download, in addition, the Ensembl website provides computer-generated visual displays of much of the data. Over time the project has expanded to additional species as well as a wider range of genomic data, including genetic variations. Central to the Ensembl concept is the ability to automatically generate graphical views of the alignment of genes and these are shown as data tracks, and individual tracks can be turned on and off, allowing the user to customise the display to suit their research interests. The interface also enables the user to zoom in to a region or move along the genome in either direction, the graphics are complemented by tabular displays, and in many cases data can be exported directly from the page in a variety of standard file formats such as FASTA. Externally produced data can also be added to the display, either via a DAS server on the internet, or by uploading a file in one of the supported formats, such as BAM, BED. Graphics are generated using a suite of custom Perl modules based on GD, in addition to its website, Ensembl provides a Perl API that models biological objects such as genes and proteins, allowing simple scripts to be written to retrieve data of interest. The same API is used internally by the web interface to display the data and it is divided in sections like the core API, the compara API, the variation API, and the functional genomics API. The Ensembl website provides information on how to install and use the API. This software can be used to access the public MySQL database, the users could even choose to retrieve data from the MySQL with direct SQL queries, but this requires an extensive knowledge of the current database schema. Large datasets can be retrieved using the BioMart data-mining tool and it provides a web interface for downloading datasets using complex queries. Last, there is an FTP server which can be used to download entire MySQL databases as some selected data sets in other formats. The annotated genomes include most fully sequenced vertebrates and selected model organisms, all of them are eukaryotes, there are no prokaryotes
11.
UniProt
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UniProt is a freely accessible database of protein sequence and functional information, many entries being derived from genome sequencing projects. It contains an amount of information about the biological function of proteins derived from the research literature. The UniProt consortium comprises the European Bioinformatics Institute, the Swiss Institute of Bioinformatics, EBI, located at the Wellcome Trust Genome Campus in Hinxton, UK, hosts a large resource of bioinformatics databases and services. SIB, located in Geneva, Switzerland, maintains the ExPASy servers that are a resource for proteomics tools. In 2002, EBI, SIB, and PIR joined forces as the UniProt consortium, each consortium member is heavily involved in protein database maintenance and annotation. Until recently, EBI and SIB together produced the Swiss-Prot and TrEMBL databases and these databases coexisted with differing protein sequence coverage and annotation priorities. Swiss-Prot aimed to provide reliable protein sequences associated with a level of annotation. Recognizing that sequence data were being generated at a pace exceeding Swiss-Prots ability to keep up, meanwhile, PIR maintained the PIR-PSD and related databases, including iProClass, a database of protein sequences and curated families. The consortium members pooled their resources and expertise, and launched UniProt in December 2003. UniProt provides four core databases, UniProtKB, UniParc, UniRef, UniProt Knowledgebase is a protein database partially curated by experts, consisting of two sections, UniProtKB/Swiss-Prot and UniProtKB/TrEMBL. As of 19 March 2014, release 2014_03 of UniProtKB/Swiss-Prot contains 542,782 sequence entries, UniProtKB/Swiss-Prot is a manually annotated, non-redundant protein sequence database. It combines information extracted from literature and biocurator-evaluated computational analysis. The aim of UniProtKB/Swiss-Prot is to all known relevant information about a particular protein. Annotation is regularly reviewed to keep up with current scientific findings, the manual annotation of an entry involves detailed analysis of the protein sequence and of the scientific literature. Sequences from the gene and the same species are merged into the same database entry. Differences between sequences are identified, and their cause documented, a range of sequence analysis tools is used in the annotation of UniProtKB/Swiss-Prot entries. Computer-predictions are manually evaluated, and relevant results selected for inclusion in the entry and these predictions include post-translational modifications, transmembrane domains and topology, signal peptides, domain identification, and protein family classification. Relevant publications are identified by searching databases such as PubMed, the full text of each paper is read, and information is extracted and added to the entry
12.
PubMed
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PubMed is a free search engine accessing primarily the MEDLINE database of references and abstracts on life sciences and biomedical topics. The United States National Library of Medicine at the National Institutes of Health maintains the database as part of the Entrez system of information retrieval, from 1971 to 1997, MEDLINE online access to the MEDLARS Online computerized database primarily had been through institutional facilities, such as university libraries. PubMed, first released in January 1996, ushered in the era of private, free, home-, the PubMed system was offered free to the public in June 1997, when MEDLINE searches via the Web were demonstrated, in a ceremony, by Vice President Al Gore. Information about the journals indexed in MEDLINE, and available through PubMed, is found in the NLM Catalog. As of 5 January 2017, PubMed has more than 26.8 million records going back to 1966, selectively to the year 1865, and very selectively to 1809, about 500,000 new records are added each year. As of the date,13.1 million of PubMeds records are listed with their abstracts. In 2016, NLM changed the system so that publishers will be able to directly correct typos. Simple searches on PubMed can be carried out by entering key aspects of a subject into PubMeds search window, when a journal article is indexed, numerous article parameters are extracted and stored as structured information. Such parameters are, Article Type, Secondary identifiers, Language, publication type parameter enables many special features. As these clinical girish can generate small sets of robust studies with considerable precision, since July 2005, the MEDLINE article indexing process extracts important identifiers from the article abstract and puts those in a field called Secondary Identifier. The secondary identifier field is to store numbers to various databases of molecular sequence data, gene expression or chemical compounds. For clinical trials, PubMed extracts trial IDs for the two largest trial registries, ClinicalTrials. gov and the International Standard Randomized Controlled Trial Number Register, a reference which is judged particularly relevant can be marked and related articles can be identified. If relevant, several studies can be selected and related articles to all of them can be generated using the Find related data option, the related articles are then listed in order of relatedness. To create these lists of related articles, PubMed compares words from the title and abstract of each citation, as well as the MeSH headings assigned, using a powerful word-weighted algorithm. The related articles function has been judged to be so precise that some researchers suggest it can be used instead of a full search, a strong feature of PubMed is its ability to automatically link to MeSH terms and subheadings. Examples would be, bad breath links to halitosis, heart attack to myocardial infarction, where appropriate, these MeSH terms are automatically expanded, that is, include more specific terms. Terms like nursing are automatically linked to Nursing or Nursing and this important feature makes PubMed searches automatically more sensitive and avoids false-negative hits by compensating for the diversity of medical terminology. The My NCBI area can be accessed from any computer with web-access, an earlier version of My NCBI was called PubMed Cubby
13.
Wikidata
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Wikidata is a collaboratively edited knowledge base operated by the Wikimedia Foundation. It is intended to provide a source of data which can be used by Wikimedia projects such as Wikipedia. This is similar to the way Wikimedia Commons provides storage for files and access to those files for all Wikimedia projects. Wikidata is powered by the software Wikibase, Wikidata is a document-oriented database, focused on items. Each item represents a topic and is identified by a number, prefixed with the letter Q—for example. This enables the basic information required to identify the topic the item covers to be translated without favouring any language, information is added to items by creating statements. Statements take the form of pairs, with each statement consisting of a property. The creation of the project was funded by donations from the Allen Institute for Artificial Intelligence, the Gordon and Betty Moore Foundation, at this time, only the first phase was available. Historically, a Wikipedia article would include a list of links, being links to articles on the same topic in other editions of Wikipedia. Initially, Wikidata was a repository of interlanguage links. No Wikipedia language editions were able to access Wikidata, so they needed to continue to maintain their own lists of interlanguage links, on 14 January 2013, the Hungarian Wikipedia became the first to enable the provision of interlanguage links via Wikidata. This functionality was extended to the Hebrew and Italian Wikipedias on 30 January, to the English Wikipedia on 13 February, on 23 September 2013, phase 1 went live on Wikimedia Commons. The first aspects of the second phase were deployed on 4 February 2013, the values were initially limited to two data types, with more data types to follow later. The first new type, string, was deployed on 6 March, the ability of the various language editions of Wikipedia to access data added to Wikidata as part of phase two was rolled out progressively between 27 March and 25 April 2013. On 16 September 2015, Wikidata began allowing so-called arbitrary access, for example, in the past the article about Berlin you could not access data about Germany, but with arbitrary access it could. On 27 April 2016 arbitrary access was activated on Wikimedia Commons, phase 3 will involve database querying and the creation of lists based on data stored on Wikidata. As of October 2016 two tools for querying Wikidata were available, AutoList and PetScan, additionally to a public SPARQL endpoint, there is concern that the project is being influenced by lobbying companies, PR professionals and search engine optimizers. As of December 2015, according to Wikimedia statistics, half of the information in Wikidata is unsourced, another 30% is labeled as having come from Wikipedia, but with no indication as to which article
14.
Enzyme
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Enzymes /ˈɛnzaɪmz/ are macromolecular biological catalysts. Enzymes accelerate, or catalyze, chemical reactions, the molecules at the beginning of the process upon which enzymes may act are called substrates and the enzyme converts these into different molecules, called products. Almost all metabolic processes in the cell need enzymes in order to occur at rates fast enough to sustain life, the set of enzymes made in a cell determines which metabolic pathways occur in that cell. The study of enzymes is called enzymology, enzymes are known to catalyze more than 5,000 biochemical reaction types. Most enzymes are proteins, although a few are catalytic RNA molecules, enzymes specificity comes from their unique three-dimensional structures. Like all catalysts, enzymes increase the rate of a reaction by lowering its activation energy, some enzymes can make their conversion of substrate to product occur many millions of times faster. An extreme example is orotidine 5-phosphate decarboxylase, which allows a reaction that would take millions of years to occur in milliseconds. Chemically, enzymes are like any catalyst and are not consumed in chemical reactions, enzymes differ from most other catalysts by being much more specific. Enzyme activity can be affected by other molecules, inhibitors are molecules that decrease enzyme activity, many drugs and poisons are enzyme inhibitors. An enzymes activity decreases markedly outside its optimal temperature and pH, some enzymes are used commercially, for example, in the synthesis of antibiotics. French chemist Anselme Payen was the first to discover an enzyme, diastase and he wrote that alcoholic fermentation is an act correlated with the life and organization of the yeast cells, not with the death or putrefaction of the cells. In 1877, German physiologist Wilhelm Kühne first used the term enzyme, the word enzyme was used later to refer to nonliving substances such as pepsin, and the word ferment was used to refer to chemical activity produced by living organisms. Eduard Buchner submitted his first paper on the study of yeast extracts in 1897, in a series of experiments at the University of Berlin, he found that sugar was fermented by yeast extracts even when there were no living yeast cells in the mixture. He named the enzyme that brought about the fermentation of sucrose zymase, in 1907, he received the Nobel Prize in Chemistry for his discovery of cell-free fermentation. Following Buchners example, enzymes are usually named according to the reaction they carry out, the biochemical identity of enzymes was still unknown in the early 1900s. Sumner showed that the enzyme urease was a protein and crystallized it. These three scientists were awarded the 1946 Nobel Prize in Chemistry, the discovery that enzymes could be crystallized eventually allowed their structures to be solved by x-ray crystallography. This high-resolution structure of lysozyme marked the beginning of the field of structural biology, an enzymes name is often derived from its substrate or the chemical reaction it catalyzes, with the word ending in -ase
15.
Gene
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A gene is a locus of DNA which is made up of nucleotides and is the molecular unit of heredity. The transmission of genes to an offspring is the basis of the inheritance of phenotypic traits. These genes make up different DNA sequences called genotypes, genotypes along with environmental and developmental factors determine what the phenotypes will be. Most biological traits are under the influence of polygenes as well as gene–environment interactions, genes can acquire mutations in their sequence, leading to different variants, known as alleles, in the population. These alleles encode slightly different versions of a protein, which cause different phenotypical traits, usage of the term having a gene typically refers to containing a different allele of the same, shared gene. Genes evolve due to natural selection or survival of the fittest of the alleles, the concept of a gene continues to be refined as new phenomena are discovered. For example, regulatory regions of a gene can be far removed from its coding regions, some viruses store their genome in RNA instead of DNA and some gene products are functional non-coding RNAs. The existence of discrete inheritable units was first suggested by Gregor Mendel, from 1857 to 1864, in Brno, he studied inheritance patterns in 8000 common edible pea plants, tracking distinct traits from parent to offspring. He described these mathematically as 2n combinations where n is the number of differing characteristics in the original peas, although he did not use the term gene, he explained his results in terms of discrete inherited units that give rise to observable physical characteristics. This description prefigured the distinction between genotype and phenotype, charles Darwin developed a theory of inheritance he termed pangenesis, from Greek pan and genesis / genos. Darwin used the term gemmule to describe hypothetical particles that would mix during reproduction, de Vries called these units pangenes, after Darwins 1868 pangenesis theory. In 1909 the Danish botanist Wilhelm Johannsen shortened the name to gene, advances in understanding genes and inheritance continued throughout the 20th century. Deoxyribonucleic acid was shown to be the repository of genetic information by experiments in the 1940s to 1950s. In the early 1950s the prevailing view was that the genes in a chromosome acted like discrete entities, indivisible by recombination, collectively, this body of research established the central dogma of molecular biology, which states that proteins are translated from RNA, which is transcribed from DNA. This dogma has since shown to have exceptions, such as reverse transcription in retroviruses. The modern study of genetics at the level of DNA is known as molecular genetics, in 1972, Walter Fiers and his team at the University of Ghent were the first to determine the sequence of a gene, the gene for Bacteriophage MS2 coat protein. The subsequent development of chain-termination DNA sequencing in 1977 by Frederick Sanger improved the efficiency of sequencing, an automated version of the Sanger method was used in early phases of the Human Genome Project. The theories developed in the 1930s and 1940s to integrate molecular genetics with Darwinian evolution are called the evolutionary synthesis
16.
Glycoprotein
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Glycoproteins are proteins that contain oligosaccharide chains covalently attached to polypeptide side-chains. The carbohydrate is attached to the protein in a cotranslational or posttranslational modification and this process is known as glycosylation. Secreted extracellular proteins are often glycosylated, in proteins that have segments extending extracellularly, the extracellular segments are also often glycosylated. Glycoproteins are also often important integral membrane proteins, where they play a role in cell–cell interactions and it is important to distinguish endoplasmic reticulum-based glycosylation of the secretory system without reversible cytosolic-nuclear glycosylation. In contrast, classical secretory glycosylation can be structurally essential, for example, inhibition of asparagine-linked, i. e. N-linked, glycosylation can prevent glycoprotein folding and full inhibition can be toxic to an individual cell. In contrast, perturbation of terminal processing, which occurs in the Golgi apparatus, is dispensable for isolated cells but can lead to human disease, a famous example of this latter effect is the ABO blood system. There are several types of glycosylation, although the first two are the most common, in N-glycosylation, sugars are attached to nitrogen, typically on the amide side-chain of asparagine. In O-glycosylation, sugars are attached to oxygen, typically on serine or threonine, in P-glycosylation, sugars are attached to phosphorus on a phosphoserine. In C-glycosylation, sugars are attached directly to carbon, such as in the addition of mannose to tryptophan, in glypiation, a GPI glycolipid is attached to the C-terminus of a polypeptide, serving as a membrane anchor. Monosaccharides commonly found in eukaryotic glycoproteins include, The sugar group can assist in protein folding or improve proteins stability, one example of glycoproteins found in the body is mucins, which are secreted in the mucus of the respiratory and digestive tracts. The sugars when attached to give them considerable water-holding capacity. Glycoproteins are important for blood cell recognition, especially in mammals. Examples of glycoproteins in the system are, molecules such as antibodies. Molecules of the major histocompatibility complex, which are expressed on the surface of cells, sialyl Lewis X antigen on the surface of leukocytes. H antigen of the ABO blood compatibility antigens, other examples of glycoproteins include, glycoprotein IIb/IIIa, an integrin found on platelets that is required for normal platelet aggregation and adherence to the endothelium. Components of the zona pellucida, which surrounds the oocyte, and is important for sperm-egg interaction, structural glycoproteins, which occur in connective tissue. These help bind together the fibers, cells, and ground substance of connective tissue and they may also help components of the tissue bind to inorganic substances, such as calcium in bone. Glycoprotein-41 and glycoprotein-120 are HIV viral coat proteins, soluble glycoproteins often show a high viscosity, for example, in egg white and blood plasma
17.
UCSC Genome Browser
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The UCSC Genome Browser is an on-line genome browser hosted by the University of California, Santa Cruz. The Genome Browser Database, browsing tools, downloadable data files, today the browser is used by geneticists, molecular biologists and physicians as well as students and teachers of evolution for access to genomic information. High coverage is necessary to allow overlap to guide the construction of contiguous regions. The species hosted with full-featured genome browsers are shown in the table, the large amount of data about biological systems that is accumulating in the literature makes it necessary to collect and digest information using the tools of bioinformatics. The basic paradigm of display is to show the sequence in the horizontal dimension. Blocks of color along the coordinate axis show the locations of the alignments of the data types. The ability to show this large variety of types on a single coordinate axis makes the browser a handy tool for the vertical integration of the data. To find a specific gene or genomic region, the user may type in the name, an accession number for an RNA. Presenting the data in the format allows the browser to present link access to detailed information about any of the annotations. Designed for the presentation of complex and voluminous data, the UCSC Browser is optimized for speed, by pre-aligning the 55 million RNAs of GenBank to each of the 81 genome assemblies, the browser allows instant access to the alignments of any RNA to any of the hosted species. The juxtaposition of the types of data allow researchers to display exactly the combination of data that will answer specific questions. A pdf/postscript output functionality allows export of an image for publication in academic journals. One unique and useful feature that distinguishes the UCSC Browser from other genome browsers is the variable nature of the display. Sequence of any size can be displayed, from a single DNA base up to the chromosome with full annotation tracks. Researchers can display a single gene, an exon, or an entire chromosome band, showing dozens or hundreds of genes. A convenient drag-and-zoom feature allows the user to any region in the genome image. Researchers may also use the browser to display their own data via the Custom Tracks tool and this feature allows users to upload a file of their own data and view the data in the context of the reference genome assembly. Users may also use the data hosted by UCSC, creating subsets of the data of their choosing with the Table Browser tool, any browser view created by a user, including those containing Custom Tracks, may be shared with other users via the Saved Sessions tool
18.
PubMed Identifier
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PubMed is a free search engine accessing primarily the MEDLINE database of references and abstracts on life sciences and biomedical topics. The United States National Library of Medicine at the National Institutes of Health maintains the database as part of the Entrez system of information retrieval, from 1971 to 1997, MEDLINE online access to the MEDLARS Online computerized database primarily had been through institutional facilities, such as university libraries. PubMed, first released in January 1996, ushered in the era of private, free, home-, the PubMed system was offered free to the public in June 1997, when MEDLINE searches via the Web were demonstrated, in a ceremony, by Vice President Al Gore. Information about the journals indexed in MEDLINE, and available through PubMed, is found in the NLM Catalog. As of 5 January 2017, PubMed has more than 26.8 million records going back to 1966, selectively to the year 1865, and very selectively to 1809, about 500,000 new records are added each year. As of the date,13.1 million of PubMeds records are listed with their abstracts. In 2016, NLM changed the system so that publishers will be able to directly correct typos. Simple searches on PubMed can be carried out by entering key aspects of a subject into PubMeds search window, when a journal article is indexed, numerous article parameters are extracted and stored as structured information. Such parameters are, Article Type, Secondary identifiers, Language, publication type parameter enables many special features. As these clinical girish can generate small sets of robust studies with considerable precision, since July 2005, the MEDLINE article indexing process extracts important identifiers from the article abstract and puts those in a field called Secondary Identifier. The secondary identifier field is to store numbers to various databases of molecular sequence data, gene expression or chemical compounds. For clinical trials, PubMed extracts trial IDs for the two largest trial registries, ClinicalTrials. gov and the International Standard Randomized Controlled Trial Number Register, a reference which is judged particularly relevant can be marked and related articles can be identified. If relevant, several studies can be selected and related articles to all of them can be generated using the Find related data option, the related articles are then listed in order of relatedness. To create these lists of related articles, PubMed compares words from the title and abstract of each citation, as well as the MeSH headings assigned, using a powerful word-weighted algorithm. The related articles function has been judged to be so precise that some researchers suggest it can be used instead of a full search, a strong feature of PubMed is its ability to automatically link to MeSH terms and subheadings. Examples would be, bad breath links to halitosis, heart attack to myocardial infarction, where appropriate, these MeSH terms are automatically expanded, that is, include more specific terms. Terms like nursing are automatically linked to Nursing or Nursing and this important feature makes PubMed searches automatically more sensitive and avoids false-negative hits by compensating for the diversity of medical terminology. The My NCBI area can be accessed from any computer with web-access, an earlier version of My NCBI was called PubMed Cubby
19.
Glutaminase
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Glutaminase is an amidohydrolase enzyme that generates glutamate from glutamine. Glutaminase has an important role in glial cells, Glutaminase is also expressed in the epithelial cells of the renal tubules, where the produced ammonia is excreted as ammonium ions. This excretion of ammonium ions is an important mechanism of renal acid-base regulation, during chronic acidosis, glutaminase is induced in the kidney, which leads to an increase in the amount of ammonium ions excreted. Glutaminase can also be found in the intestines, whereby hepatic portal ammonia can reach as high as 0.26 mM, one of the most important roles of glutaminase is found in the axonal terminals of neurons in the central nervous system. Glutamate is the most abundantly used excitatory neurotransmitter in the CNS, after being released into the synapse for neurotransmission, glutamate is rapidly taken up by nearby astrocytes, which convert it to glutamine. This glutamine is then supplied to the terminals of the neurons. Although both kidney-type and liver-type glutaminases are expressed in brain, GLS2 has been reported to exist only in nuclei in CNS neurons. ADP is the strongest adenine nucleotide activator of glutaminase, studies have also suggested ADP lowered the K for glutamine and increased the V. They found that these effects were increased even more when ATP was present. ”The structure of Glutaminase has been determined using X-ray diffraction to a resolution of up to 1.73 Å, there are 2 chains containing 305 residues that make up the length of this dimeric protein. On each strand, 23% of the acid content, or 71 residues, are found in the 8 helices. Twenty-one percent, or 95 residues, make up the 23 beta sheet strands, humans express 4 isoforms of glutaminase. GLS1 encodes 2 types of kidney-type glutaminase with a high activity, GLS2 encodes 2 forms of liver-type glutaminase with a low activity and allosteric regulation. Glutaminases belong to a family that includes serine-dependent beta-lactamases and penicillin-binding proteins. A sharp drop in scores occurs below 250, and cutoffs are set accordingly, the enzyme converts glutamine to glutamate, with the release of ammonia
20.
Urease
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Ureases, functionally, belong to the superfamily of amidohydrolases and phosphotriesterases. It is an enzyme that catalyzes the hydrolysis of urea into carbon dioxide, Urease activity tends to increase the pH of its environment as it produces ammonia, a basic molecule. Ureases are found in bacteria, fungi, algae, plants and some invertebrates, as well as in soils. They are nickel-containing metalloenzymes of high molecular weight, Sumner, an assistant professor at Cornell University, showed that urease is a protein by examining its crystallized form. The structure of urease was first solved by P. A. Karplus in 1995, Urease was the first ever enzyme crystallized. Active site requiring nickel in jack-bean and several bacteria, however, in vitro activation also has been achieved with manganese and cobalt Molecular weight,480 kDa or 545 kDa for jack-bean Urease. 840 amino acids per molecule, of which 90 are cysteines, an exceptional enzyme is the urease of Helicobacter species, which is composed of two subunits, α-β, and has been shown to form a supramolecular dodecameric complex. Of repeating α-β subunits, each coupled pair of subunits has an active site and it plays an essential function for survival, neutralizing gastric acid by allowing urea to enter into periplasm via a proton-gated urea channel. The presence of urease is used in the diagnosis of Helicobacter species, all bacterial ureases are solely cytoplasmic, except for Helicobacter pylori urease, which along with its cytoplasmic activity, has external activity with host cells. In contrast, all plant ureases are cytoplasmic, fungal and plant ureases are made up of identical subunits, most commonly assembled as trimers and hexamers. For example, jack-bean urease has two structural and one catalytic subunit, the α subunit contains the active site, it is composed of 840 amino acids per molecule, its molecular mass without Ni ions amounting to 90.77 kDa. The mass of the hexamer with the 12 nickel ions is 545.34 kDa and it is structurally related to the 3 trimer of bacterial ureases. Other examples of structures of plant ureases are those of soybean, pigeon pea. The active site of all ureases known are located in the α subunits, x-ray absorption spectroscopy studies of Canavalia ensiformis, Klebsiella aerogenes and Sporosarcina pasteurii confirm 5–6 coordinate nickel ions with exclusively O/N ligands. The amino acid residues participate in the binding, mainly through hydrogen bonding. Additionally, the amino acid involved in the architecture of the active site compose part of the mobile flap of the site. In the structure of Sporosarcina pasteurii urease the flap was found in the open conformation and it is important to note that the coordination of urea to the active site of urease has never been observed in a resting state of the enzyme. The kcat/Km of urease in the processing of urea is 1014 times greater than the rate of the elimination reaction of urea
21.
FAAH
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Fatty acid amide hydrolase or FAAH is a member of the serine hydrolase family of enzymes. It was first shown to break down anandamide in 1993, in humans, it is encoded by the gene FAAH. FAAH is an integral membrane hydrolase with a single N-terminal transmembrane domain, in vitro, FAAH has esterase and amidase activity. In vivo, FAAH is the principal catabolic enzyme for a class of lipids called the fatty acid amides. FAAH knockout mice display elevated levels of N-acylethanolamines and N-acyltaurines in various tissues. Because of their significantly elevated levels, FAAH KOs have an analgesic phenotype, showing reduced pain sensation in the hot plate test, the formalin test. Finally, because of their ability to degrade anandamide, FAAH KOs also display supersensitivity to exogenous anandamide. Due to the ability of FAAH to regulate nociception, it is viewed as an attractive drug target for the treatment of pain. A mutation in FAAH was initially linked to drug abuse and dependence. Studies in cells and animals and genetic studies in humans have shown that inhibiting FAAH may be a strategy to treat anxiety disorders. Based on the mechanism of fatty acid amide hydrolase, a large number of irreversible and reversible inhibitors of this enzyme have been developed. The first crystal structure of FAAH was published in 2002, structures of FAAH with drug-like ligands were first reported in 2008, and include non-covalent inhibitor complexes and covalent adducts
22.
Histone deacetylase
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Histone deacetylases are a class of enzymes that remove acetyl groups from an ε-N-acetyl lysine amino acid on a histone, allowing the histones to wrap the DNA more tightly. This is important because DNA is wrapped around histones, and DNA expression is regulated by acetylation and de-acetylation and its action is opposite to that of histone acetyltransferase. HDAC proteins are now also called lysine deacetylases, to describe their function rather than their target, together with the acetylpolyamine amidohydrolases and the acetoin utilization proteins, the histone deacetylases form an ancient protein superfamily known as the histone deacetylase superfamily. HDACs, are classified in four classes depending on sequence homology to the yeast original enzymes and domain organization, HDAC proteins are grouped into four classes based on function and DNA sequence similarity. Class IV contains just one isoform, which is not highly homologous with either Rpd3 or hda1 yeast enzymes, and therefore HDAC11 is assigned to its own class. The Class III enzymes are considered a type of enzyme and have a different mechanism of action. Within the Class I HDACs, HDAC1,2, and 3 are found primarily in the nucleus, Class II HDACs are able to shuttle in and out of the nucleus, depending on different signals. HDAC6 is a cytoplasmic, microtuble-associated enzyme, HDAC6 deacetylates tubulin, Hsp90, and cortactin, and forms complexes with other partner proteins, and is, therefore, involved in a variety of biological processes. Histone tails are normally positively charged due to amine groups present on their lysine and arginine amino acids and these positive charges help the histone tails to interact with and bind to the negatively charged phosphate groups on the DNA backbone. Acetylation, which occurs normally in a cell, neutralizes the positive charges on the histone by changing amines into amides and decreases the ability of the histones to bind to DNA and this decreased binding allows chromatin expansion, permitting genetic transcription to take place. Histone deacetylases remove those acetyl groups, increasing the positive charge of histone tails, the increased DNA binding condenses DNA structure, preventing transcription. Histone deacetylase is involved in a series of pathways within the living system, hyperacetylated chromatin is transcriptionally active, and hypoacetylated chromatin is silent. A study on mice found that a subset of mouse genes was deregulated in the absence of HDAC1. Their study also found a regulatory crosstalk between HDAC1 and HDAC2 and suggest a function for HDAC1 as a transcriptional coactivator. HDAC1 expression was found to be increased in the cortex of schizophrenia subjects. It is a mistake to regard HDACs solely in the context of regulating transcription by modifying histones and chromatin structure. The function, activity, and stability of proteins can be controlled by post-translational modifications, the acetylation of lysine residues is emerging as an analogous mechanism, in which non-histone proteins are acted on by acetylases and deacetylases. It is in context that HDACs are being found to interact with a variety of non-histone proteins—some of these are transcription factors and co-regulators
23.
Sirtuin
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Sirtuins regulate important biological pathways in bacteria, archaea and eukaryotes. The name Sir2 comes from the yeast gene silent mating-type information regulation 2, Sirtuins can also control circadian clocks and mitochondrial biogenesis. Yeast Sir2 and some, but not all, sirtuins are protein deacetylases, unlike other known protein deacetylases, which simply hydrolyze acetyl-lysine residues, the sirtuin-mediated deacetylation reaction couples lysine deacetylation to NAD hydrolysis. This hydrolysis yields O-acetyl-ADP-ribose, the substrate and nicotinamide, itself an inhibitor of sirtuin activity. Whereas bacteria and archaea encode either one or two sirtuins, eukaryotes encode several sirtuins in their genomes, in yeast, roundworms, and fruitflies, sir2 is the name of one of the sirtuin-type proteins. This research started in 1991 by Leonard Guarente of MIT, mammals possess seven sirtuins that occupy different subcellular compartments such as the nucleus, cytoplasm and the mitochondria. The first sirtuin was identified in yeast and named sir2, in more complex mammals, there are seven known enzymes that act in cellular regulation, as sir2 does in yeast. These genes are designated as belonging to different classes, depending on their amino acid sequence structure, in addition, several Gram positive bacteria, including Staphylococcus aureus and Streptococcus pyogenes, as well as several fungi carry macrodomain-linked sirtuins. Most notable, the latter have a catalytic residue, which make them exclusive ADP-ribosyl transferases. Sirtuin list based on North/Verdin diagram, sirtuin activity is inhibited by nicotinamide, which binds to a specific receptor site, so it is thought that drugs that interfere with this binding should increase sirtuin activity. Sirtuins have been proposed as a target for type II diabetes mellitus. Preliminary studies with resveratrol, a possible SIRT1 activator, have led scientists to speculate that resveratrol may extend lifespan. Further experiments conducted by Rafael de Cabo et al. showed that resveratrol-mimicking drugs such as SRT1720 could extend the lifespan of mice by 44%. Comparable molecules are now undergoing clinical trials in humans, adding resveratrol to the diet of mice inhibit gene expression profiles associated with muscle aging and age-related cardiac dysfunction. A study performed on transgenic mice overexpressing SIRT6, showed an increased lifespan of about 15% in males, the transgenic males displayed lower serum levels of insulin-like growth factor 1 and changes in its metabolism, which may have contributed to the increased lifespan. Ageing Sir2 Resveratrol Biological immortality Caloric restriction Trichostatin A Histone deacetylases or HDACs Sirtuins at the US National Library of Medicine Medical Subject Headings Rice J, how Cells Age, Parallels between mice and yeast uncover a potentially universal aging mechanism
. PMID 1530592.
