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Evaluating Parametrization Protocols for Hydration Free Energy Calculations with the AMOEBA Polarizable Force Field

机译:使用AMOEBA极化力场评估水化自由能计算的参数化协议

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Hydration free energy (HFE) calculations are often used to assess the performance of biomolecular force fields and the quality of assigned parameters. The AMOEBA polarizable force field moves beyond traditional pairwise additive models of electrostatics and may be expected to improve upon predictions of thermodynamic quantities such as HFEs over and above fixed-point-charge models. The recent SAMPL4 challenge evaluated the AMOEBA polarizable force field in this regard but showed substantially worse results than those using the fixed-point-charge GAFF model. Starting with a set of automatically generated AMOEBA parameters for the SAMPL4 data set, we evaluate the cumulative effects of a series of incremental improvements in parametrization protocol, including both solute and solvent model changes. Ultimately, the optimized AMOEBA parameters give a set of results that are not statistically significantly different from those of GAFF in terms of signed and unsigned error metrics. This allows us to propose a number of guidelines for new molecule parameter derivation with AMOEBA, which we expect to have benefits for a range of biomolecular simulation applications such as protein ligand binding studies.
机译:水合自由能(HFE)计算通常用于评估生物分子力场的性能和分配参数的质量。 AMOEBA可极化的力场超越了传统的成对静电对模型,可以预期在定点电荷模型之上和之上的热力学量(例如HFE)的预测会有所改善。最近的SAMPL4挑战在这方面评估了AMOEBA极化力场,但显示出的结果比使用定点电荷GAFF模型的结果差得多。从为SAMPL4数据集自动生成的AMOEBA参数集开始,我们评估参数化协议中一系列增量改进的累积效果,包括溶质和溶剂模型更改。最终,经过优化的AMOEBA参数给出的一组结果在有符号和无符号错误度量方面与GAFF在统计上没有显着差异。这使我们能够为AMOEBA的新分子参数推导提出许多指导方针,我们希望这些指导方针对一系列生物分子模拟应用(例如蛋白质配体结合研究)有好处。

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