Department of Medicinal Chemistry, College of Pharmacy, University of Michigan, 428 Church St, Ann Arbor, MI, 48109-1065, USA.
Sci Rep. 2023 Feb 21;13(1):3008. doi: 10.1038/s41598-023-29996-w.
Binding MOAD is a database of protein-ligand complexes and their affinities with many structured relationships across the dataset. The project has been in development for over 20 years, but now, the time has come to bring it to a close. Currently, the database contains 41,409 structures with affinity coverage for 15,223 (37%) complexes. The website BindingMOAD.org provides numerous tools for polypharmacology exploration. Current relationships include links for structures with sequence similarity, 2D ligand similarity, and binding-site similarity. In this last update, we have added 3D ligand similarity using ROCS to identify ligands which may not necessarily be similar in two dimensions but can occupy the same three-dimensional space. For the 20,387 different ligands present in the database, a total of 1,320,511 3D-shape matches between the ligands were added. Examples of the utility of 3D-shape matching in polypharmacology are presented. Finally, plans for future access to the project data are outlined.
MOAD 结合物数据库是一个包含蛋白质-配体复合物及其亲和力的数据库,其中有许多跨数据集的结构化关系。该项目已经开发了 20 多年,但现在是时候将其关闭了。目前,该数据库包含 41409 个结构,其中 15223 个(37%)复合物具有亲和力覆盖。BindingMOAD.org 网站提供了许多用于多药理学探索的工具。当前的关系包括具有序列相似性、2D 配体相似性和结合位点相似性的结构链接。在最后一次更新中,我们使用 ROCS 添加了 3D 配体相似性,以识别那些在二维空间中不一定相似但可以占据相同三维空间的配体。对于数据库中存在的 20387 种不同的配体,总共添加了 1320511 个配体之间的 3D 形状匹配。介绍了 3D 形状匹配在多药理学中的应用实例。最后,概述了未来访问项目数据的计划。