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The ChEMBL bioactivity database: an update.

Nucleic acids research | Jan 30, 2014

ChEMBL is an open large-scale bioactivity database (https://www.ebi.ac.uk/chembl), previously described in the 2012 Nucleic Acids Research Database Issue. Since then, a variety of new data sources and improvements in functionality have contributed to the growth and utility of the resource. In particular, more comprehensive tracking of compounds from research stages through clinical development to market is provided through the inclusion of data from United States Adopted Name applications; a new richer data model for representing drug targets has been developed; and a number of methods have been put in place to allow users to more easily identify reliable data. Finally, access to ChEMBL is now available via a new Resource Description Framework format, in addition to the web-based interface, data downloads and web services.

Pubmed ID: 24214965 RIS Download

Mesh terms: Binding Sites | Databases, Chemical | Drug Discovery | Humans | Internet | Ligands | Pharmaceutical Preparations | Proteins

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European Bioinformatics Institute

A non-profit academic organization for research and services in bioinformatics that provides freely available data from life science experiments, performs basic research in computational biology, and offers an extensive user training programme, supporting researchers in academia and industry. The Institute manages databases of biological data including nucleic acid, protein sequences, and macromolecular structures.

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MeSH

A controlled vocabulary thesaurus that consists of sets of terms naming descriptors in a hierarchical structure that permits searching at various levels of specificity. MeSH, in machine-readable form, is provided at no charge via electronic means. MeSH descriptors are arranged in both an alphabetic and a hierarchical structure. At the most general level of the hierarchical structure are very broad headings such as Anatomy or Mental Disorders. More specific headings are found at more narrow levels of the twelve-level hierarchy, such as Ankle and Conduct Disorder. There are 27,149 descriptors in 2014 MeSH. There are also over 218,000 entry terms that assist in finding the most appropriate MeSH Heading, for example, Vitamin C is an entry term to Ascorbic Acid. In addition to these headings, there are more than 219,000 headings called Supplementary Concept Records (formerly Supplementary Chemical Records) within a separate thesaurus. The MeSH thesaurus is used by NLM for indexing articles from 5,400 of the world''''s leading biomedical journals for the MEDLINE/PubMED database. It is also used for the NLM-produced database that includes cataloging of books, documents, and audiovisuals acquired by the Library. Each bibliographic reference is associated with a set of MeSH terms that describe the content of the item. Similarly, search queries use MeSH vocabulary to find items on a desired topic.

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Archives of General Psychiatry

The Archives of General Psychiatry strives to publish original, state-of-the-art studies and commentaries of general interest to clinicians, scholars, and research scientists in psychiatry, mental health, behavioral science, and allied fields. The Archives seeks to inform and to educate its readers as well as to stimulate debate and further exploration into the nature, causes, treatment, and public health importance of mental illness. Archives of General Psychiatry is an international peer-reviewed journal published 12 times a year. The online version is published on the first Monday of the month. There is a Middle Eastern edition of Archives of Neurology/Psychiatry published quarterly. The editor is interested in publishing high-impact articles that cover the field broadly, from genetic mechanisms to psychotherapeutic intervention trials. The acceptance rate is 17%. The average time from submission to first decision is 32 days; from acceptance to publication, 5.4 months. Its 2008 impact factor is 14.27 (the impact factor is a measure of citation rate per article, and is calculated by dividing 1 year''s worth of citations to a journal''s articles published in the previous 2 years by the number of major articles (eg, research papers, reviews) published by that journal in those 2 years).

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