Quantum Mechanical and Molecular Mechanical Calculations on Substituted Boron Clusters and Their Interactions with Proteins

J. Fanfrlík, Adam Pecina, J. Řezáč, P. Hobza, M. Lepšík
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Abstract

Medicinal chemistry entails not only synthesis but also compound design. The role of rational drug design has been boosted in recent decades through the use of computer‐ aided drug design, either ligand‐ or structure‐based [1]. The former area makes heavy use of statistics and chemi‐informatics to set up dependencies between the physicochemical properties of the compounds and their biological activities. Although some properties, such as the lipophilicity (expressed as the n‐octanol/water partition coefficient, logP), can also be evaluated computationally by quantum mechanical (QM) or molecular mechanical (MM) methods, ligand‐based drug design is not the focus of this chapter. On the contrary, we discuss here structure‐based drug design, which uses three‐ dimensional (3D) structures of protein–ligand complexes to estimate affinities. The geometries are most often determined experimentally by X‐ray crystallography or nuclear magnetic resonance (NMR). In computer‐aided structure‐based drug design, the ligand’s binding pose within the protein is predicted by docking, a task that has practically been mastered for the broad organic chemistry space [2]. Scoring is thereafter used to assess which of the poses represent the native complex and to rank the compounds by affinity. In contrast, this task has, until recently, been deemed unsolved [3]. We have approached the low reliability of scoring by developing a QM‐based scoring function [4]. Its fundamental principle is QM treatment of protein–ligand noncovalent interactions and solvation [5]. We showed that such an approach can be advantageously used to unequivocally identify the ligand native pose [6], reproduce binding affinity in a series of ligands to various protein targets [5], and describe nonclassical noncovalent interactions, such as halogen bonds [7] or even covalently binding inhibitors [8]. Based on this extensive experience of ours with organic ligands and a decade‐long experience with calculations of boron clusters bound to proteins [9], we affirm that QM scoring is a general solution to the affinity prediction of boron cluster/protein binding. Quantum Mechanical and Molecular Mechanical Calculations on Substituted Boron Clusters and Their Interactions with Proteins Jindřich Fanfrlík, Adam Pecina, Jan Řezáč, Pavel Hobza, and Martin Lepšík*
取代硼团簇及其与蛋白质相互作用的量子力学和分子力学计算
药物化学不仅包括合成,还包括化合物设计。近几十年来,通过使用基于配体或基于结构的计算机辅助药物设计,合理药物设计的作用得到了提升[1]。前一个领域大量使用统计学和化学信息学来建立化合物的物理化学性质与其生物活性之间的依赖关系。虽然一些性质,如亲脂性(表示为正辛醇/水分配系数logP),也可以通过量子力学(QM)或分子力学(MM)方法进行计算评估,但基于配体的药物设计不是本章的重点。相反,我们在这里讨论基于结构的药物设计,它使用蛋白质配体复合物的三维(3D)结构来估计亲和力。几何形状通常是由X射线晶体学或核磁共振(NMR)实验确定的。在基于计算机辅助结构的药物设计中,通过对接来预测配体在蛋白质内的结合姿态,这一任务在广泛的有机化学领域实际上已经掌握[2]。此后,评分用于评估哪一种姿势代表天然复合物,并根据亲和力对化合物进行排名。相比之下,这个任务直到最近才被认为是未解决的[3]。我们通过开发基于质量管理的评分函数来解决评分的低可靠性问题[4]。其基本原理是QM处理蛋白质与配体的非共价相互作用和溶剂化[5]。我们发现,这种方法可以很好地用于明确识别配体的天然姿势[6],再现一系列配体与各种蛋白质靶标的结合亲和力[5],并描述非经典的非共价相互作用,如卤素键[7],甚至共价结合抑制剂[8]。基于我们在有机配体方面的丰富经验和长达十年的硼团簇与蛋白质结合的计算经验[9],我们确认QM评分是硼团簇/蛋白质结合亲和预测的一般解决方案。取代硼团簇及其与蛋白质相互作用的量子力学和分子力学计算Jindřich Fanfrlík, Adam Pecina, Jan Řezáč, Pavel Hobza, Martin Lepšík*
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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