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Evaluating Force Field Performance in ThermodynamicCalculations of Cyclodextrin Host–Guest Binding: Water ModelsPartial Charges and Host Force Field Parameters

机译:评估热力学中的力场性能环糊精主体-客体结合的计算:水模型部分费用和主力场参数

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摘要

Computational prediction of noncovalent binding free energies with methods based on molecular mechanical force fields has become increasingly routine in drug discovery projects, where they promise to speed the discovery of small molecule ligands to bind targeted proteins with high affinity. Because the reliability of free energy methods still has significant room for improvement, new force fields, or modifications of existing ones, are regularly introduced with the aim of improving the accuracy of molecular simulations. However, comparatively little work has been done to systematically assess how well force fields perform, particularly in relation to the calculation of binding affinities. Hardware advances have made these calculations feasible, but comprehensive force field assessments for protein–ligand sized systems still remain costly. Here, we turn to cyclodextrin host–guest systems, which feature many hallmarks of protein–ligand binding interactions but are generally much more tractable due to their small size. We present absolute binding free energy and enthalpy calculations, usingthe attach-pull-release (APR) approach, on a set of 43 cyclodextrin-guestpairs for which experimental ITC data are available. The test setcomprises both α- and β-cyclodextrin hosts binding a seriesof small organic guests, each with one of three functional groups:ammonium, alcohol, or carboxylate. Four water models are considered(TIP3P, TIP4Pew, SPC/E, and OPC), along with two partial charge assignmentprocedures (RESP and AM1-BCC) and two cyclodextrin host force fields.The results suggest a complex set of considerations when choosinga force field for biomolecular simulations. For example, some forcefield combinations clearly outperform others at the binding enthalpycalculations but not for the binding free energy. Additionally, aforce field combination which we expected to be the worst performergave the most accurate binding free energies – but the leastaccurate binding enthalpies. The results have implications for thedevelopment of improved force fields, and we propose this test set,and potential future elaborations of it, as a powerful validationsuite to evaluate new force fields and help guide future force fielddevelopment.
机译:在药物发现项目中,基于分子机械力场的方法对非共价结合自由能的计算预测已变得越来越普遍,他们承诺加快发现小分子配体以高亲和力结合靶蛋白的过程。由于自由能方法的可靠性仍有很大的改进空间,因此,为了提高分子模拟的准确性,经常引入新的力场或对现有力场进行修改。但是,为系统地评估力场的性能所做的工作很少,尤其是在计算结合亲和力方面。硬件的进步使这些计算变得可行,但是对蛋白质-配体大小的系统进行全面的力场评估仍然是昂贵的。在这里,我们转向环糊精宿主-客体系统,该系统具有许多蛋白质-配体结合相互作用的特征,但由于其体积小,通常更易于处理。我们给出了绝对结合自由能和焓的计算,使用一组43个环糊精-客体的附着-拉-释放(APR)方法可获得ITC实验数据的数据对。测试集包含结合一系列α-环糊精和β-环糊精的宿主小型有机宾客,每个宾客均具有以下三个职能组之一:铵,醇或羧酸盐。考虑了四种水模型(TIP3P,TIP4Pew,SPC / E和OPC),以及两个部分电荷分配程序(RESP和AM1-BCC)和两个环糊精宿主力场。结果表明,选择时需要考虑一系列复杂的问题用于生物分子模拟的力场。例如,有些力量在结合焓方面,场组合明显胜过其他计算,而不是结合自由能。此外,力场组合,我们预计将是表现最差的给出了最准确的结合自由能,但最少准确的结合焓。结果对开发改进的力场,我们提出了该测试仪,及其潜在的未来细节,作为有力的验证套件,用于评估新的力场并帮助指导未来的力场发展。

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