On the Convergence of QM/MM Energies

QM/毫米 协调球 再分配(选举) 化学 物理 嵌入 离子 统计物理学 分子物理学 计算化学 量子力学 计算机科学 分子动力学 法学 人工智能 政治 政治学
作者
Lihong Hu,Pär Söderhjelm,Ulf Ryde
出处
期刊:Journal of Chemical Theory and Computation [American Chemical Society]
卷期号:7 (3): 761-777 被引量:197
标识
DOI:10.1021/ct100530r
摘要

We have studied the convergence of QM/MM calculations with respect to the size of the QM system. We study a proton transfer between a first-sphere cysteine ligand and a second-sphere histidine group in [Ni,Fe] hydrogenase and use a 446-atom model of the protein, treated purely with QM methods as a reference. We have tested 12 different ways to redistribute charges close to the junctions (to avoid overpolarization of the QM system), but once the junctions are moved away from the active site, there is little need to redistribute the charges. We have tested 13 different variants of QM/MM approaches, including two schemes to correct errors caused by the truncation of the QM system. However, we see little gain from such correction schemes; on the contrary, they are sensitive to the charge-redistribution scheme and may cause large errors if charges are close to the junctions. In fact, the best results were obtained with a mechanical embedding approach that does not employ any correction scheme and ignores polarization. It gives a mean unsigned error for 40 QM systems of different sizes of 7 kJ/mol with a maximum error of 28 kJ/mol. The errors can be significantly decreased if bonds between the QM and MM system (junctions) are moved one residue away from all active-site residues. Then, most QM/MM variants give mean unsigned errors of 5-9 kJ/mol, maximum errors of 16-35 kJ/mol, and only five to seven residues give an error of over 5 kJ/mol. In general, QM/MM calculations converge faster with system size than pure QM calculations.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
高斯发布了新的文献求助30
1秒前
上善若水发布了新的文献求助20
2秒前
典雅丹秋完成签到,获得积分10
2秒前
标致绮露完成签到,获得积分10
3秒前
Bob发布了新的文献求助10
3秒前
Mannose发布了新的文献求助20
4秒前
天天快乐应助生成采纳,获得10
4秒前
Hoshiiii完成签到,获得积分10
5秒前
ding应助祁白曼采纳,获得10
6秒前
SaberLee完成签到,获得积分10
6秒前
Palette完成签到,获得积分20
6秒前
SciGPT应助YYY采纳,获得10
7秒前
脑洞疼应助zjx采纳,获得10
7秒前
懒洋洋完成签到 ,获得积分10
8秒前
NexusExplorer应助吴wuwu采纳,获得10
9秒前
9秒前
科研通AI6.3应助欣慰若采纳,获得10
9秒前
高斯完成签到,获得积分10
10秒前
10秒前
热心市民小杨应助CNS冲采纳,获得10
10秒前
木阳完成签到,获得积分10
11秒前
12秒前
12秒前
13秒前
小欣完成签到,获得积分10
13秒前
深情安青应助早早采纳,获得10
13秒前
打打应助小凯采纳,获得10
14秒前
春曙为最发布了新的文献求助10
14秒前
kk发布了新的文献求助10
14秒前
st完成签到,获得积分10
15秒前
FashionBoy应助学习者采纳,获得20
15秒前
Owen应助handsomeboy采纳,获得10
15秒前
16秒前
默默的发布了新的文献求助10
16秒前
16秒前
vergil发布了新的文献求助10
16秒前
赘婿应助薛同学采纳,获得10
16秒前
16秒前
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Kinesiophobia : a new view of chronic pain behavior 3000
Les Mantodea de guyane 2500
Feldspar inclusion dating of ceramics and burnt stones 1000
What is the Future of Psychotherapy in a Digital Age? 801
The Psychological Quest for Meaning 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5960868
求助须知:如何正确求助?哪些是违规求助? 7211982
关于积分的说明 15957409
捐赠科研通 5097286
什么是DOI,文献DOI怎么找? 2738884
邀请新用户注册赠送积分活动 1701110
关于科研通互助平台的介绍 1618983