Chemistry Doctoral School, University of Szeged, Dugonics tér 13, 6720 Szeged, Hungary.
Institute of Physiology, Medical School, University of Pécs, Szigeti út 12, 7624 Pécs, Hungary.
Int J Mol Sci. 2019 Sep 6;20(18):4384. doi: 10.3390/ijms20184384.
Optimization of the enthalpy component of binding thermodynamics of drug candidates is a successful pathway of rational molecular design. However, the large size and missing hydration structure of target-ligand complexes often hinder such optimizations with quantum mechanical (QM) methods. At the same time, QM calculations are often necessitated for proper handling of electronic effects. To overcome the above problems, and help the QM design of new drugs, a protocol is introduced for atomic level determination of hydration structure and extraction of structures of target-ligand complex interfaces. The protocol is a combination of a previously published program MobyWat, an engine for assigning explicit water positions, and Fragmenter, a new tool for optimal fragmentation of protein targets. The protocol fostered a series of fast calculations of ligand binding enthalpies at the semi-empirical QM level. Ligands of diverse chemistry ranging from small aromatic compounds up to a large peptide helix of a molecular weight of 3000 targeting a leukemia protein were selected for systematic investigations. Comparison of various combinations of implicit and explicit water models demonstrated that the presence of accurately predicted explicit water molecules in the complex interface considerably improved the agreement with experimental results. A single scaling factor was derived for conversion of QM reaction heats into binding enthalpy values. The factor links molecular structure with binding thermodynamics via QM calculations. The new protocol and scaling factor will help automated optimization of binding enthalpy in future molecular design projects.
优化候选药物结合热力学的焓分量是合理分子设计的成功途径。然而,由于靶标-配体复合物的体积较大且缺少水合结构,通常会阻碍量子力学(QM)方法进行此类优化。同时,为了正确处理电子效应,通常需要进行 QM 计算。为了克服上述问题,帮助新药物的 QM 设计,引入了一种用于确定水合结构和提取靶标-配体复合物界面结构的原子级别的方案。该方案结合了先前发表的程序 MobyWat(用于分配显式水分子位置的引擎)和 Fragmenter(用于蛋白质靶标最佳碎片化的新工具)。该方案促进了半经验 QM 水平上配体结合焓的一系列快速计算。选择了具有不同化学性质的配体,从小分子芳香化合物到针对白血病蛋白的 3000 分子量的大肽螺旋,进行了系统研究。各种隐式和显式水模型的组合比较表明,在复合物界面中存在准确预测的显式水分子,大大提高了与实验结果的一致性。为了将 QM 反应热转换为结合焓值,推导出了一个单一的缩放因子。该因子通过 QM 计算将分子结构与结合热力学联系起来。新方案和缩放因子将有助于在未来的分子设计项目中自动优化结合焓。