Beijing StoneWise Technology Co Ltd., Haidian Street #15, Haidian District, Beijing 100080, China.
J Chem Inf Model. 2022 Apr 11;62(7):1734-1743. doi: 10.1021/acs.jcim.1c01406. Epub 2022 Mar 29.
We report for the first time the use of experimental electron density (ED) in the Protein Data Bank for modeling of noncovalent interactions (NCIs) for protein-ligand complexes. Our methodology is based on reduced electron density gradient (RDG) theory describing intermolecular NCIs by ED and its first derivative. We established a database named Experimental NCI Database (ExptNCI; http://ncidatabase.stonewise.cn/#/nci) containing ED saddle points, indicating ∼200,000 NCIs from over 12,000 protein-ligand complexes. We also demonstrated the usage of the database in the case of depicting amide-π interactions in protein-ligand binding systems. In summary, the database provides details on experimentally observed NCIs for protein-ligand complexes and can support future studies including studies on rarely documented NCIs and the development of artificial intelligence models for protein-ligand binding prediction.
我们首次报告了在蛋白质-配体复合物中非共价相互作用(NCIs)建模中使用实验电子密度(ED)的情况。我们的方法基于通过 ED 和其一阶导数描述分子间 NCIs 的简化电子密度梯度(RDG)理论。我们建立了一个名为 Experimental NCI Database(ExptNCI;http://ncidatabase.stonewise.cn/#/nci)的数据库,其中包含 ED 鞍点,这些鞍点表示来自 12000 多个蛋白质-配体复合物的约 200000 个 NCIs。我们还展示了该数据库在描绘蛋白质-配体结合系统中酰胺-π 相互作用的情况下的用法。总之,该数据库提供了有关蛋白质-配体复合物中实验观察到的 NCIs 的详细信息,并可支持未来的研究,包括对很少有文献记录的 NCIs 的研究以及开发用于蛋白质-配体结合预测的人工智能模型。