Sheng Yinglei, Watanabe Hirofumi, Maruyama Keiya, Watanabe Chiduru, Okiyama Yoshio, Honma Teruki, Fukuzawa Kaori, Tanaka Shigenori
Graduate School of System Informatics, Kobe University, 1-1 Rokkodai, Nada-ku, Kobe 657-8501, Japan.
Education Center on Computational Science and Engineering, Kobe University, 7-1-48 Minatojimaminamimachi, Chuo-ku, Kobe 650-0047, Japan.
Comput Struct Biotechnol J. 2018 Oct 13;16:421-434. doi: 10.1016/j.csbj.2018.10.003. eCollection 2018.
We describe several procedures for the preprocessing of fragment molecular orbital (FMO) calculations on p38 mitogen-activated protein (MAP) kinase and discuss the influence of the procedures on the protein-ligand interaction energies represented by inter-fragment interaction energies (IFIEs). The correlation between the summation of IFIEs for a ligand and amino acid residues of protein (IFIE-sum) and experimental affinity values (IC) was poor when considered for the whole set of protein-ligand complexes. To improve the correlation for prediction of ligand binding affinity, we carefully classified data set by the ligand charge, the DFG-loop state (DFG-in/out loop), which is characteristic of kinase, and the scaffold of ligand. The correlation between IFIE-sums and the activity values was examined using the classified data set. As a result, it was confirmed that there was a selected data set that showed good correlation between IFIE-sum and activity value by appropriate classification. In addition, we found that the differences in protonation and hydrogen orientation caused by subtle differences in preprocessing led to a relatively large difference in IFIE values. Further, we also examined the effect of structure optimization with different force fields. It was confirmed that the difference in the force field had no significant effect on IFIE-sum. From the viewpoint of drug design using FMO calculations, various investigations on IFIE-sum in this research, such as those regarding several classifications of data set and the different procedures of structural preparation, would be expected to provide useful knowledge for improvement of prediction ability about the ligand binding affinity.
我们描述了几种用于p38丝裂原活化蛋白(MAP)激酶片段分子轨道(FMO)计算预处理的方法,并讨论了这些方法对由片段间相互作用能(IFIEs)表示的蛋白质-配体相互作用能的影响。当考虑整个蛋白质-配体复合物集合时,配体与蛋白质氨基酸残基的IFIE总和(IFIE-sum)与实验亲和力值(IC)之间的相关性较差。为了提高预测配体结合亲和力的相关性,我们根据配体电荷、激酶特有的DFG环状态(DFG-in/out环)以及配体的支架对数据集进行了仔细分类。使用分类后的数据集检查了IFIE总和与活性值之间的相关性。结果证实,通过适当分类存在一个选定的数据集,其显示出IFIE总和与活性值之间具有良好的相关性。此外,我们发现预处理中的细微差异导致的质子化和氢取向差异会导致IFIE值出现相对较大的差异。此外,我们还研究了不同力场对结构优化的影响。证实力场差异对IFIE总和没有显著影响。从使用FMO计算进行药物设计的角度来看,本研究中对IFIE总和的各种研究,例如关于数据集的几种分类以及结构制备的不同程序的研究,有望为提高配体结合亲和力的预测能力提供有用的知识。