ff14SB: Improving the Accuracy of Protein Side Chain and Backbone Parameters from ff99SB

二面角 侧链 力场(虚构) 质子化 化学 分子动力学 可转让性 蛋白质二级结构 标量(数学) 计算化学 构象异构 计算机科学 化学物理 生物系统 结晶学 分子 数学 人工智能 机器学习 氢键 有机化学 几何学 聚合物 离子 罗伊特 生物 生物化学
作者
James Maier,Carmenza Martinez,Koushik Kasavajhala,Lauren Wickstrom,Kevin Hauser,Carlos Simmerling
出处
期刊:Journal of Chemical Theory and Computation [American Chemical Society]
卷期号:11 (8): 3696-3713 被引量:10597
标识
DOI:10.1021/acs.jctc.5b00255
摘要

Molecular mechanics is powerful for its speed in atomistic simulations, but an accurate force field is required. The Amber ff99SB force field improved protein secondary structure balance and dynamics from earlier force fields like ff99, but weaknesses in side chain rotamer and backbone secondary structure preferences have been identified. Here, we performed a complete refit of all amino acid side chain dihedral parameters, which had been carried over from ff94. The training set of conformations included multidimensional dihedral scans designed to improve transferability of the parameters. Improvement in all amino acids was obtained as compared to ff99SB. Parameters were also generated for alternate protonation states of ionizable side chains. Average errors in relative energies of pairs of conformations were under 1.0 kcal/mol as compared to QM, reduced 35% from ff99SB. We also took the opportunity to make empirical adjustments to the protein backbone dihedral parameters as compared to ff99SB. Multiple small adjustments of φ and ψ parameters were tested against NMR scalar coupling data and secondary structure content for short peptides. The best results were obtained from a physically motivated adjustment to the φ rotational profile that compensates for lack of ff99SB QM training data in the β-ppII transition region. Together, these backbone and side chain modifications (hereafter called ff14SB) not only better reproduced their benchmarks, but also improved secondary structure content in small peptides and reproduction of NMR χ1 scalar coupling measurements for proteins in solution. We also discuss the Amber ff12SB parameter set, a preliminary version of ff14SB that includes most of its improvements.
最长约 10秒,即可获得该文献文件

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
聪慧元绿发布了新的文献求助10
1秒前
hhh发布了新的文献求助10
1秒前
陳.完成签到 ,获得积分10
1秒前
2秒前
YUAN完成签到,获得积分10
5秒前
许思真发布了新的文献求助10
5秒前
所所应助聪慧元绿采纳,获得10
6秒前
7秒前
8秒前
西洲长风完成签到,获得积分10
8秒前
彩色的踏歌完成签到,获得积分10
9秒前
肉肉完成签到 ,获得积分10
9秒前
JamesPei应助科研通管家采纳,获得10
9秒前
Orange应助科研通管家采纳,获得10
9秒前
科研通AI2S应助科研通管家采纳,获得10
9秒前
Guo应助科研通管家采纳,获得10
10秒前
10秒前
隐形曼青应助科研通管家采纳,获得10
10秒前
10秒前
10秒前
CodeCraft应助科研通管家采纳,获得10
10秒前
传奇3应助科研通管家采纳,获得10
10秒前
10秒前
赘婿应助科研通管家采纳,获得10
10秒前
caca应助科研通管家采纳,获得10
10秒前
Hello应助科研通管家采纳,获得10
10秒前
ding应助科研通管家采纳,获得10
10秒前
SciGPT应助科研通管家采纳,获得10
11秒前
彭于晏应助科研通管家采纳,获得10
11秒前
华仔应助科研通管家采纳,获得10
11秒前
11秒前
11秒前
Orange应助科研通管家采纳,获得10
11秒前
11秒前
11秒前
11秒前
香蕉觅云应助科研通管家采纳,获得10
11秒前
11秒前
斯文败类应助科研通管家采纳,获得10
11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
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
Signals, Systems, and Signal Processing 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Research Methods for Applied Linguistics 500
Picture Books with Same-sex Parented Families Unintentional Censorship 444
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6412483
求助须知:如何正确求助?哪些是违规求助? 8231502
关于积分的说明 17470575
捐赠科研通 5465175
什么是DOI,文献DOI怎么找? 2887593
邀请新用户注册赠送积分活动 1864347
关于科研通互助平台的介绍 1702927