The BioGRID interaction database: 2017 update.
The BioGRID interaction database: 2017 update.
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DOI：
10.1093/nar/gkw1102
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发表时间：
2017-01-04
影响因子：
14.9
通讯作者：
Tyers M
中科院分区：
文献类型：
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作者：
Chatr-Aryamontri A;Oughtred R;Boucher L;Rust J;Chang C;Kolas NK;O'Donnell L;Oster S;Theesfeld C;Sellam A;Stark C;Breitkreutz BJ;Dolinski K;Tyers M
Https://thebiogrid.org)是一个开放获取的数据库，致力于对所有主要模式生物物种和人类的蛋白质、遗传和化学相互作用进行注释和存档。截至2016年9月(内部版本3.4.140)，BioGRID包含1 072 173个遗传和蛋白质相互作用，以及38 559个翻译后修饰，来自48 114份出版物的手动注释。该数据集代表了66个模式生物的相互作用记录，与2015年BioGRID的前一次更新相比增加了30%。BioGRID管理包括人类在内的主要模式生物物种的生物医学文献，最近的重点是中心生物过程和特定的人类疾病。为了促进基于网络的药物发现方法，BioGRID现在纳入了来自DrugBank数据库的27 501个人类药物靶标的化学-蛋白质相互作用。新的动态相互作用网络查看器允许轻松导航和过滤所有遗传和蛋白质相互作用数据，以及生物活性化合物及其既定目标。BioGRID数据可不受限制地以各种标准化格式直接下载，并可通过伙伴模型生物体数据库和元数据库免费分发。
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.