Genome Pharmaceutical Institute Company, Ltd., 1-27-8-1207 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Center for Comprehensive Genomic Medicine, Okayama University Hospital, 2-5-1 Shikata-cho, Kita-ku, Okayama 700-8558, Japan.
J Chem Inf Model. 2020 Oct 26;60(10):4785-4790. doi: 10.1021/acs.jcim.0c00607. Epub 2020 Sep 1.
Three-dimensional (3D) molecular descriptors, including physicochemical and shape properties, for protein-protein interaction (PPI) interface inhibitors have become a topic of discussion. However, the relationships between such properties and binding free energy have not been adequately investigated. In this study, we focused on identifying key 3D molecular descriptors related to the binding free energy and/or the ligand efficiency (LE) of PPI interface inhibitors. A positive correlation was found between the binding free energy and the diameter () of cylindrical 3D molecules, in addition to a correlation between LE and /heavy atom count (HAC). In addition, we showed a correlation between LE and /HAC for macrocyclic compounds, suggesting that the present findings could be applied during assessments of the potential of macrocyclic PPI interface inhibitors in drug discovery processes.
三维(3D)分子描述符,包括物理化学和形状特性,已成为蛋白质-蛋白质相互作用(PPI)界面抑制剂的研究课题。然而,这些性质与结合自由能之间的关系尚未得到充分研究。在这项研究中,我们专注于确定与 PPI 界面抑制剂的结合自由能和/或配体效率(LE)相关的关键 3D 分子描述符。我们发现结合自由能与圆柱 3D 分子的直径()之间存在正相关,此外,LE 与/重原子数(HAC)之间也存在相关性。此外,我们还展示了大环化合物的 LE 与/HAC 之间的相关性,表明本研究结果可应用于评估大环 PPI 界面抑制剂在药物发现过程中的潜力。