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成对相互作用能分解分析。

Pair interaction energy decomposition analysis.

作者信息

Fedorov Dmitri G, Kitaura Kazuo

机构信息

National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba Central 2, 1-1-1 Umezono, Tsukuba, Ibaraki 305-8568, Japan.

出版信息

J Comput Chem. 2007 Jan 15;28(1):222-37. doi: 10.1002/jcc.20496.

Abstract

The energy decomposition analysis (EDA) by Kitaura and Morokuma was redeveloped in the framework of the fragment molecular orbital method (FMO). The proposed pair interaction energy decomposition analysis (PIEDA) can treat large molecular clusters and the systems in which fragments are connected by covalent bonds, such as proteins. The interaction energy in PIEDA is divided into the same contributions as in EDA: the electrostatic, exchange-repulsion, and charge transfer energies, to which the correlation (dispersion) term was added. The careful comparison to the ab initio EDA interaction energies for water clusters with 2-16 molecules revealed that PIEDA has the error of at most 1.2 kcal/mol (or about 1%). The analysis was applied to (H2O)1024, the alpha helix, beta turn, and beta strand of polyalanine (ALA)10, as well as to the synthetic protein (PDB code 1L2Y) with 20 residues. The comparative aspects of the polypeptide isomer stability are discussed in detail.

摘要

北村和诸熊提出的能量分解分析(EDA)在片段分子轨道方法(FMO)的框架内得到了重新发展。所提出的成对相互作用能量分解分析(PIEDA)能够处理大分子簇以及片段通过共价键连接的系统,如蛋白质。PIEDA中的相互作用能被分解为与EDA中相同的几个部分:静电能、交换排斥能和电荷转移能,并且还添加了相关(色散)项。与具有2 - 16个分子的水簇的从头算EDA相互作用能进行仔细比较后发现,PIEDA的误差至多为1.2千卡/摩尔(或约1%)。该分析被应用于(H₂O)₁₀₂₄、聚丙氨酸(ALA)₁₀的α螺旋、β转角和β链,以及具有20个残基的合成蛋白质(PDB代码1L2Y)。详细讨论了多肽异构体稳定性的比较方面。

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