Suppr超能文献

用于生物物理学和计算机辅助药物设计的CHARMM加和式与可极化力场。

CHARMM additive and polarizable force fields for biophysics and computer-aided drug design.

作者信息

Vanommeslaeghe K, MacKerell A D

机构信息

Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, MD 21201, USA.

Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, MD 21201, USA.

出版信息

Biochim Biophys Acta. 2015 May;1850(5):861-871. doi: 10.1016/j.bbagen.2014.08.004. Epub 2014 Aug 19.

Abstract

BACKGROUND

Molecular Mechanics (MM) is the method of choice for computational studies of biomolecular systems owing to its modest computational cost, which makes it possible to routinely perform molecular dynamics (MD) simulations on chemical systems of biophysical and biomedical relevance.

SCOPE OF REVIEW

As one of the main factors limiting the accuracy of MD results is the empirical force field used, the present paper offers a review of recent developments in the CHARMM additive force field, one of the most popular biomolecular force fields. Additionally, we present a detailed discussion of the CHARMM Drude polarizable force field, anticipating a growth in the importance and utilization of polarizable force fields in the near future. Throughout the discussion emphasis is placed on the force fields' parametrization philosophy and methodology.

MAJOR CONCLUSIONS

Recent improvements in the CHARMM additive force field are mostly related to newly found weaknesses in the previous generation of additive force fields. Beyond the additive approximation is the newly available CHARMM Drude polarizable force field, which allows for MD simulations of up to 1μs on proteins, DNA, lipids and carbohydrates.

GENERAL SIGNIFICANCE

Addressing the limitations ensures the reliability of the new CHARMM36 additive force field for the types of calculations that are presently coming into routine computational reach while the availability of the Drude polarizable force fields offers an inherently more accurate model of the underlying physical forces driving macromolecular structures and dynamics. This article is part of a Special Issue entitled "Recent developments of molecular dynamics".

摘要

背景

分子力学(MM)是生物分子系统计算研究的首选方法,因其计算成本适中,这使得对具有生物物理和生物医学相关性的化学系统进行分子动力学(MD)模拟成为可能。

综述范围

由于限制MD结果准确性的主要因素之一是所使用的经验力场,本文对最流行的生物分子力场之一CHARMM加和力场的最新进展进行了综述。此外,我们对CHARMM德鲁德极化力场进行了详细讨论,预计在不久的将来极化力场的重要性和应用将会增加。在整个讨论过程中,重点放在力场的参数化理念和方法上。

主要结论

CHARMM加和力场的最新改进大多与上一代加和力场中新发现的弱点有关。超越加和近似的是新推出的CHARMM德鲁德极化力场,它允许对蛋白质、DNA、脂质和碳水化合物进行长达1微秒的MD模拟。

普遍意义

解决这些局限性确保了新的CHARMM36加和力场在目前常规计算所能达到的计算类型方面的可靠性,而德鲁德极化力场的可用性提供了一个本质上更准确的驱动大分子结构和动力学的潜在物理力模型。本文是名为“分子动力学的最新进展”的特刊的一部分。

相似文献

2
Editorial preface.编辑前言。
Biochim Biophys Acta. 2015 May;1850(5):859-860. doi: 10.1016/j.bbagen.2015.01.010. Epub 2015 Jan 20.
4
Force Fields for Small Molecules.小分子的力场
Methods Mol Biol. 2019;2022:21-54. doi: 10.1007/978-1-4939-9608-7_2.
5
Enhanced sampling techniques in molecular dynamics simulations of biological systems.生物系统分子动力学模拟中的增强采样技术。
Biochim Biophys Acta. 2015 May;1850(5):872-877. doi: 10.1016/j.bbagen.2014.10.019. Epub 2014 Oct 23.

引用本文的文献

4
The physics-AI dialogue in drug design.药物设计中的物理与人工智能对话。
RSC Med Chem. 2025 Jan 23;16(4):1499-1515. doi: 10.1039/d4md00869c. eCollection 2025 Apr 16.
8
Polymorphic potential of SRF binding site of gene promoter: study.基因启动子SRF结合位点的多态性潜力:研究
RSC Adv. 2024 Dec 3;14(51):38253-38267. doi: 10.1039/d4ra05897f. eCollection 2024 Nov 25.

本文引用的文献

6

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验