Poli Giulio, Seidel Thomas, Langer Thierry
Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena, Italy.
Department of Pharmaceutical Chemistry, University of Vienna, Vienna, Austria.
Front Chem. 2018 Jun 19;6:229. doi: 10.3389/fchem.2018.00229. eCollection 2018.
Herein we present the algorithm and performance assessment of our newly developed conformer generator iCon that was implemented in LigandScout 4.0. Two data sets of high-quality X-ray structures of drug-like small molecules originating from the Protein Data Bank (200 ligands) and the Cambridge Structural Database (481 molecules) were used to validate iCon's performance in the reproduction of experimental conformations. OpenEye's conformer generator OMEGA was subjected to the same evaluation and served as a reference software in this analysis. We tested several setting patterns in order to identify the most suitable and efficient ones for conformational sampling with iCon; equivalent settings were also tested on OMEGA in order to compare the results obtained from the two programs and better assess iCon's performance. Overall, this study proved that iCon is able to generate reliable representative conformational ensembles of drug-like small molecules, yielding results comparable to those showed by OMEGA, and thus is ready to serve as a valuable tool for computer-aided drug design.
在此,我们展示了我们新开发的构象生成器iCon的算法和性能评估,该生成器已在LigandScout 4.0中实现。使用了来自蛋白质数据库(200个配体)和剑桥结构数据库(481个分子)的两组高质量类药物小分子的X射线结构数据集,以验证iCon在重现实验构象方面的性能。对OpenEye的构象生成器OMEGA进行了相同的评估,并将其作为该分析中的参考软件。我们测试了几种设置模式,以确定使用iCon进行构象采样最合适和最有效的模式;还在OMEGA上测试了等效设置,以便比较从这两个程序获得的结果,并更好地评估iCon的性能。总体而言,这项研究证明iCon能够生成可靠的类药物小分子代表性构象集,产生与OMEGA相当的结果,因此准备好作为计算机辅助药物设计的宝贵工具。