Bosisio Stefano, Mey Antonia S J S, Michel Julien
EaStCHEM School of Chemistry, University of Edinburgh, David Brewster Road, Edinburgh, EH9 3FJ, UK.
J Comput Aided Mol Des. 2016 Nov;30(11):1101-1114. doi: 10.1007/s10822-016-9969-1. Epub 2016 Sep 27.
In the context of the SAMPL5 challenge water-cyclohexane distribution coefficients for 53 drug-like molecules were predicted. Four different models based on molecular dynamics free energy calculations were tested. All models initially assumed only one chemical state present in aqueous or organic phases. Model A is based on results from an alchemical annihilation scheme; model B adds a long range correction for the Lennard Jones potentials to model A; model C adds charging free energy corrections; model D applies the charging correction from model C to ionizable species only. Model A and B perform better in terms of mean-unsigned error ([Formula: see text] D units - 95 % confidence interval) and determination coefficient [Formula: see text], while charging corrections lead to poorer results with model D ([Formula: see text] and [Formula: see text]). Because overall errors were large, a retrospective analysis that allowed co-existence of ionisable and neutral species of a molecule in aqueous phase was investigated. This considerably reduced systematic errors ([Formula: see text] and [Formula: see text]). Overall accurate [Formula: see text] predictions for drug-like molecules that may adopt multiple tautomers and charge states proved difficult, indicating a need for methodological advances to enable satisfactory treatment by explicit-solvent molecular simulations.
在SAMPL5挑战的背景下,预测了53种类药物分子的水-环己烷分配系数。测试了基于分子动力学自由能计算的四种不同模型。所有模型最初都假设水相或有机相中仅存在一种化学状态。模型A基于炼金术湮灭方案的结果;模型B在模型A的基础上对 Lennard Jones 势添加了长程校正;模型C添加了充电自由能校正;模型D仅对可电离物种应用模型C的充电校正。就平均无符号误差([公式:见正文] D单位 - 95%置信区间)和决定系数[公式:见正文]而言,模型A和B表现更好,而充电校正导致模型D的结果更差([公式:见正文]和[公式:见正文])。由于总体误差较大,因此研究了一种允许分子的可电离和中性物种在水相中同时存在的回顾性分析。这大大降低了系统误差([公式:见正文]和[公式:见正文])。事实证明,对可能采用多种互变异构体和电荷状态的类药物分子进行总体准确的[公式:见正文]预测很困难,这表明需要方法上的进步,以便通过显式溶剂分子模拟实现令人满意的处理。