Origin of diverse time scales in the protein hydration layer solvation dynamics: A simulation study

溶剂化 分子动力学 化学物理 化学 水模型 侧链 肌红蛋白 分子 溶剂化壳 组分(热力学) 氢键 结晶学 计算化学 热力学 物理 有机化学 聚合物
作者
Sayantan Mondal,Saumyak Mukherjee,Biman Bagchi
出处
期刊:Journal of Chemical Physics [American Institute of Physics]
卷期号:147 (15): 154901-154901 被引量:51
标识
DOI:10.1063/1.4995420
摘要

In order to inquire the microscopic origin of observed multiple time scales in solvation dynamics, we carry out several computer experiments. We perform atomistic molecular dynamics simulations on three protein-water systems, namely, lysozyme, myoglobin, and sweet protein monellin. In these experiments, we mutate the charges of the neighbouring amino acid side chains of certain natural probes (tryptophan) and also freeze the side chain motions. In order to distinguish between different contributions, we decompose the total solvation energy response in terms of various components present in the system. This allows us to capture the interplay among different self- and cross-energy correlation terms. Freezing the protein motions removes the slowest component that results from side chain fluctuations, but a part of slowness remains. This leads to the conclusion that the slow component approximately in the 20-80 ps range arises from slow water molecules present in the hydration layer. While the more than 100 ps component has multiple origins, namely, adjacent charges in amino acid side chains, hydrogen bonded water molecules and a dynamically coupled motion between side chain and water. In addition, the charges enforce a structural ordering of nearby water molecules and helps to form a local long-lived hydrogen bonded network. Further separation of the spatial and temporal responses in solvation dynamics reveals different roles of hydration and bulk water. We find that the hydration layer water molecules are largely responsible for the slow component, whereas the initial ultrafast decay arises predominantly (approximately 80%) due to the bulk. This agrees with earlier theoretical observations. We also attempt to rationalise our results with the help of a molecular hydrodynamic theory that was developed using classical time dependent density functional theory in a semi-quantitative manner.
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
剁椒鱼头完成签到 ,获得积分10
刚刚
dlwlrma完成签到,获得积分10
刚刚
刚刚
JamesPei的应助被年糕采纳,获得10
1秒前
1秒前
洛琪希完成签到,获得积分10
2秒前
周灿发布了新的文献求助10
2秒前
2秒前
科目三的应助被zyj采纳,获得10
2秒前
3秒前
石石刘完成签到,获得积分10
4秒前
敬祝完成签到,获得积分10
4秒前
4秒前
dlwlrma发布了新的文献求助10
4秒前
Orange的应助被热心万天采纳,获得10
5秒前
小黄鱼发布了新的文献求助10
5秒前
柯柯可完成签到,获得积分10
5秒前
b11发布了新的文献求助10
5秒前
小米米发布了新的文献求助10
5秒前
6秒前
7秒前
香蕉觅云的应助被鑫001采纳,获得20
7秒前
dreammoon完成签到 ,获得积分10
8秒前
小羊科研日记完成签到,获得积分10
8秒前
小二郎的应助被我要积分采纳,获得10
9秒前
orixero的应助被快乐的秋翠采纳,获得10
10秒前
文献求助完成签到,获得积分0
10秒前
11秒前
CipherSage的应助被北冥鱼采纳,获得10
11秒前
JBLEE发布了新的文献求助10
12秒前
nienienie完成签到,获得积分10
13秒前
知鱼吖完成签到 ,获得积分10
13秒前
天天快乐的应助被bestow采纳,获得10
13秒前
14秒前
14秒前
可爱的函函的应助被111采纳,获得10
14秒前
顺心纸鹤发布了新的文献求助10
14秒前
搜集达人的应助被tonyxr采纳,获得10
14秒前
mimicc发布了新的文献求助30
15秒前
吃饭了没完成签到,获得积分10
16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
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 1000
Электротехническая система магнитожидкостной герметизации валов регулируемых электродвигателей 800
日本語と中国語及びチベット・ビルマ語の語源関連性に関する分析 800
Holistic Discourse Analysis, Second Edition by Robert E. Longacre 666
The Basics of Practical Optimization, Second Edition 600
Practical Nonconvex Nonsmooth Optimization 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 有机化学 物理 生物化学 化学工程 内科学 复合材料 催化作用 心理学 人工智能 细胞生物学 光电子学 无机化学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 7975530
求助须知:如何正确求助?哪些是违规求助? 9439690
关于积分的说明 21064240
捐赠科研通 7551938
什么是DOI,文献DOI怎么找? 3374280
关于科研通互助平台的介绍 2509044
邀请新用户注册赠送积分活动 2407381