药物数据库
生物
数据库
模式生物
药物发现
计算生物学
注释
生物信息学
计算机科学
药品
遗传学
药理学
基因
作者
Andrew Chatr‐aryamontri,Rose Oughtred,Lorrie Boucher,Jennifer Rust,Christie Chang,Nadine K. Kolas,Lara O’Donnell,Sara Oster,Chandra L. Theesfeld,Adnane Sellam,Chris Stark,Bobby‐Joe Breitkreutz,Kara Dolinski,Mike Tyers
摘要
The Biological General Repository for Interaction Datasets (BioGRID: https://thebiogrid.org) is an open access database dedicated to the annotation and archival of protein, genetic and chemical interactions for all major model organism species and humans. As of September 2016 (build 3.4.140), the BioGRID contains 1 072 173 genetic and protein interactions, and 38 559 post-translational modifications, as manually annotated from 48 114 publications. This dataset represents interaction records for 66 model organisms and represents a 30% increase compared to the previous 2015 BioGRID update. BioGRID curates the biomedical literature for major model organism species, including humans, with a recent emphasis on central biological processes and specific human diseases. To facilitate network-based approaches to drug discovery, BioGRID now incorporates 27 501 chemical-protein interactions for human drug targets, as drawn from the DrugBank database. A new dynamic interaction network viewer allows the easy navigation and filtering of all genetic and protein interaction data, as well as for bioactive compounds and their established targets. BioGRID data are directly downloadable without restriction in a variety of standardized formats and are freely distributed through partner model organism databases and meta-databases.
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