公共化学
情报检索
化学
文档
计算机科学
药物发现
蛋白质结构数据库
化学数据库
蛋白质数据库
序列(生物学)
相似性(几何)
领域(数学)
化学空间
数据库
计算生物学
数据科学
数据挖掘
生物信息学
生物
序列数据库
人工智能
生物化学
数学
基因
纯数学
程序设计语言
图像(数学)
作者
Michael K. Gilson,Tiqing Liu,Michael Baitaluk,George Nicola,Linda Hwang,Jenny Chong
摘要
BindingDB, www.bindingdb.org, is a publicly accessible database of experimental protein-small molecule interaction data. Its collection of over a million data entries derives primarily from scientific articles and, increasingly, US patents. BindingDB provides many ways to browse and search for data of interest, including an advanced search tool, which can cross searches of multiple query types, including text, chemical structure, protein sequence and numerical affinities. The PDB and PubMed provide links to data in BindingDB, and vice versa; and BindingDB provides links to pathway information, the ZINC catalog of available compounds, and other resources. The BindingDB website offers specialized tools that take advantage of its large data collection, including ones to generate hypotheses for the protein targets bound by a bioactive compound, and for the compounds bound by a new protein of known sequence; and virtual compound screening by maximal chemical similarity, binary kernel discrimination, and support vector machine methods. Specialized data sets are also available, such as binding data for hundreds of congeneric series of ligands, drawn from BindingDB and organized for use in validating drug design methods. BindingDB offers several forms of programmatic access, and comes with extensive background material and documentation. Here, we provide the first update of BindingDB since 2007, focusing on new and unique features and highlighting directions of importance to the field as a whole.
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