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在实验数据稀少时开发力场:无机和烷基含氧阴离子的AMBER/GAFF兼容参数

Developing force fields when experimental data is sparse: AMBER/GAFF-compatible parameters for inorganic and alkyl oxoanions.

作者信息

Kashefolgheta Sadra, Vila Verde Ana

机构信息

Department of Theory & Bio-systems, Max Planck Institute for Colloids and Interfaces, Science Park, Potsdam 14476, Germany.

出版信息

Phys Chem Chem Phys. 2017 Aug 9;19(31):20593-20607. doi: 10.1039/c7cp02557b.

DOI:10.1039/c7cp02557b
PMID:28731091
Abstract

We present a set of Lennard-Jones parameters for classical, all-atom models of acetate and various alkylated and non-alkylated forms of sulfate, sulfonate and phosphate ions, optimized to reproduce their interactions with water and with the physiologically relevant sodium, ammonium and methylammonium cations. The parameters are internally consistent and are fully compatible with the Generalized Amber Force Field (GAFF), the AMBER force field for proteins, the accompanying TIP3P water model and the sodium model of Joung and Cheatham. The parameters were developed primarily relying on experimental information - hydration free energies and solution activity derivatives at 0.5 m concentration - with ab initio, gas phase calculations being used for the cases where experimental information is missing. The ab initio parameterization scheme presented here is distinct from other approaches because it explicitly connects gas phase binding energies to intermolecular interactions in solution. We demonstrate that the original GAFF/AMBER parameters often overestimate anion-cation interactions, leading to an excessive number of contact ion pairs in solutions of carboxylate ions, and to aggregation in solutions of divalent ions. GAFF/AMBER parameters lead to excessive numbers of salt bridges in proteins and of contact ion pairs between sodium and acidic protein groups, issues that are resolved by using the optimized parameters presented here.

摘要

我们给出了一组用于醋酸盐以及各种烷基化和未烷基化形式的硫酸根、磺酸根和磷酸根离子的经典全原子模型的 Lennard-Jones 参数,这些参数经过优化,以再现它们与水以及与生理相关的钠、铵和甲基铵阳离子的相互作用。这些参数在内部是一致的,并且与广义 Amber 力场(GAFF)、蛋白质的 AMBER 力场、附带的 TIP3P 水模型以及 Joung 和 Cheatham 的钠模型完全兼容。这些参数主要依靠实验信息——0.5 m 浓度下的水合自由能和溶液活度导数——来开发,对于缺少实验信息的情况则使用从头算气相计算。这里提出的从头算参数化方案与其他方法不同,因为它明确地将气相结合能与溶液中的分子间相互作用联系起来。我们证明,原始的 GAFF/AMBER 参数常常高估阴离子 - 阳离子相互作用,导致羧酸盐离子溶液中出现过多的接触离子对,以及二价离子溶液中的聚集现象。GAFF/AMBER 参数导致蛋白质中出现过多的盐桥以及钠与酸性蛋白质基团之间出现过多接触离子对等问题,但使用这里给出的优化参数可以解决这些问题。

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