Chen X, Lin Y, Gilson M K
Center for Advanced Research in Biotechnology, University of Maryland Biotechnology Institute, 9600 Gudelsky Drive, Rockville, MD 20850, USA.
Biopolymers. 2001;61(2):127-41. doi: 10.1002/1097-0282(2002)61:2<127::AID-BIP10076>3.0.CO;2-N.
The large and growing body of experimental data on molecular binding is of enormous value in biology, pharmacology, and chemistry. Applications include the assignment of function to biomolecules, drug discovery, molecular modeling, and nanotechnology. However, binding data are difficult to find and access because they are available almost exclusively through scientific journals. BindingDB, a public, web-accessible database of measured binding affinities, is designed to address this problem. BindingDB collects data for natural and modified biomolecules and for synthetic compounds, and provides detailed experimental information. Currently, measurements by isothermal titration calorimetry are fully supported; measurements by enzyme inhibition will soon be included as well. The web site allows data to be searched by a range of criteria, including binding thermodynamics, sequence homology, and chemical structure, substructure, and similarity. Experimentalists are encouraged to publicize their data by entering it into BindingDB via the online forms. Such data can be updated or revised by the depositor, if necessary, and will remain publicly accessible. User involvement and feedback are welcomed.
大量且不断增长的关于分子结合的实验数据在生物学、药理学和化学领域具有巨大价值。其应用包括生物分子功能的确定、药物发现、分子建模和纳米技术。然而，结合数据很难查找和获取，因为它们几乎仅通过科学期刊才可获得。BindingDB是一个可通过网络访问的公开测量结合亲和力数据库，旨在解决这一问题。BindingDB收集天然和修饰生物分子以及合成化合物的数据，并提供详细的实验信息。目前，对等温滴定量热法测量提供全面支持；酶抑制测量也将很快纳入。该网站允许按一系列标准搜索数据，包括结合热力学、序列同源性以及化学结构、子结构和相似性。鼓励实验人员通过在线表单将其数据输入BindingDB来进行公开。如有必要，此类数据可由存贮者更新或修订，并且将保持公开可访问。欢迎用户参与和反馈。
