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优化肽主链构象的描述可改善使用GROMOS 53A6力场进行的蛋白质模拟。

Refining the description of peptide backbone conformations improves protein simulations using the GROMOS 53A6 force field.

作者信息

Cao Zanxia, Lin Zhixiong, Wang Jun, Liu Haiyan

机构信息

Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, University of Science and Technology of China, Hefei, Anhui 230027, China.

出版信息

J Comput Chem. 2009 Mar;30(4):645-60. doi: 10.1002/jcc.21092.

Abstract

The GROMOS 53A6 parameter sets have been shown to reproduce an extensive range of thermodynamics data in condensed phase (Oostenbrink et al., J Comput Chem 2004, 25, 1656), mainly due to the reoptimized nonbonded interactions. Here, we derive refinements for the descriptions of peptide backbone conformations for this parameter set. A two-dimensional adaptive umbrella sampling procedure was employed to determine the free energy surfaces of model alanine and glycine dipeptides in solution to high accuracy, with sampling errors below 0.8 kJ mol(-1) for relative free energies between major minima. Comparisons of these surfaces with quantum mechanical ones and conformation distributions in protein crystal structures indicated that refined treatments of backbone torsional angle terms are necessary. The high accuracy of the computed free energy surfaces allowed us to consider two types of corrections, one numerically and exactly reproducing the quantum mechanical results, and the other using small analytical terms to correct major deficiencies for the dipeptide systems. In addition, aiming at improving the directionality of backbone-backbone hydrogen bonds, we optimized and tested an off-center charge model for the peptide backbone carbonyl oxygen. Extensive molecular dynamics simulations of five proteins and two peptides in solution indicate that refined treatments of backbone dihedral angles lead to substantial improvements of the simulations. Being much simpler, the analytical terms perform as good as or even slightly better than the exact numerical corrections. Although using off-center charges brought some improvements, the directionality of hydrogen bonds have not been significantly improved.

摘要

GROMOS 53A6参数集已被证明能够再现凝聚相中的大量热力学数据(Oostenbrink等人,《计算化学杂志》,2004年,25卷,1656页),这主要归功于重新优化的非键相互作用。在此,我们针对该参数集推导了肽主链构象描述的改进方法。采用二维自适应伞形采样程序,以高精度确定溶液中模型丙氨酸和甘氨酸二肽的自由能面,主要极小值之间的相对自由能采样误差低于0.8 kJ mol⁻¹。将这些表面与量子力学表面以及蛋白质晶体结构中的构象分布进行比较表明,主链扭转角项的精细处理是必要的。计算得到的自由能面的高精度使我们能够考虑两种类型的校正,一种在数值上精确再现量子力学结果,另一种使用小的解析项来校正二肽系统的主要缺陷。此外,为了提高主链-主链氢键的方向性,我们优化并测试了肽主链羰基氧的偏心电荷模型。对溶液中的五种蛋白质和两种肽进行的广泛分子动力学模拟表明,主链二面角的精细处理导致模拟有显著改进。解析项虽然简单得多,但表现与精确的数值校正一样好,甚至略好。尽管使用偏心电荷带来了一些改进,但氢键的方向性并未得到显著改善。

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