Molecular Dynamics Simulations in Protein–Protein Docking

对接(动物) 分子动力学 大分子对接 计算机科学 蛋白质-配体对接 计算生物学 统计物理学 化学 生物 物理 计算化学 医学 虚拟筛选 护理部
作者
Dominika Cieślak,Ivo Kabelka,Damian Bartuzi
出处
期刊:Methods in molecular biology [Springer Science+Business Media]
卷期号:: 91-106 被引量:2
标识
DOI:10.1007/978-1-0716-3985-6_6
摘要

Concerted interactions between all the cell components form the basis of biological processes. Protein-protein interactions (PPIs) constitute a tremendous part of this interaction network. Deeper insight into PPIs can help us better understand numerous diseases and lead to the development of new diagnostic and therapeutic strategies. PPI interfaces, until recently, were considered undruggable. However, it is now believed that the interfaces contain "hot spots," which could be targeted by small molecules. Such a strategy would require high-quality structural data of PPIs, which are difficult to obtain experimentally. Therefore, in silico modeling can complement or be an alternative to in vitro approaches. There are several computational methods for analyzing the structural data of the binding partners and modeling of the protein-protein dimer/oligomer structure. The major problem with in silico structure prediction of protein assemblies is obtaining sufficient sampling of protein dynamics. One of the methods that can take protein flexibility and the effects of the environment into account is Molecular Dynamics (MD). While sampling of the whole protein-protein association process with plain MD would be computationally expensive, there are several strategies to harness the method to PPI studies while maintaining reasonable use of resources. This chapter reviews known applications of MD in the PPI investigation workflows.
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
WXM完成签到,获得积分10
1秒前
chrysan发布了新的文献求助10
1秒前
2秒前
脑洞疼应助wzswzs采纳,获得10
2秒前
光能使者发布了新的文献求助10
2秒前
3秒前
菠萝冰棒完成签到,获得积分10
3秒前
modesty完成签到,获得积分20
3秒前
三里墩头发布了新的文献求助20
3秒前
4秒前
DaLu完成签到,获得积分10
4秒前
6秒前
mk发布了新的文献求助10
6秒前
木夕完成签到,获得积分10
6秒前
I1waml完成签到 ,获得积分10
7秒前
7秒前
句号发布了新的文献求助10
8秒前
8秒前
8秒前
9秒前
10秒前
慕青应助Mockingbird采纳,获得10
10秒前
11秒前
明理楷瑞发布了新的文献求助10
12秒前
12秒前
12秒前
云溪发布了新的文献求助10
13秒前
VV关闭了VV文献求助
13秒前
wbhou完成签到 ,获得积分10
13秒前
大聪明发布了新的文献求助20
13秒前
13秒前
小马甲应助xiangdan采纳,获得10
13秒前
英勇的面包完成签到,获得积分20
14秒前
今后应助顾家老攻采纳,获得10
15秒前
tom发布了新的文献求助10
15秒前
海贼学术发布了新的文献求助10
16秒前
bkagyin应助小雨采纳,获得10
17秒前
17秒前
斯文败类应助索大学术采纳,获得10
17秒前
情怀应助深情的菲音采纳,获得10
17秒前
高分求助中
【提示信息,请勿应助】请使用合适的网盘上传文件 10000
Continuum Thermodynamics and Material Modelling 2000
Electron microscopy study of magnesium hydride (MgH2) for Hydrogen Storage 800
Green Star Japan: Esperanto and the International Language Question, 1880–1945 800
Sentimental Republic: Chinese Intellectuals and the Maoist Past 800
Building Quantum Computers 500
近赤外発光材料の開発とOLEDの高性能化 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3868908
求助须知:如何正确求助?哪些是违规求助? 3411224
关于积分的说明 10672672
捐赠科研通 3135547
什么是DOI,文献DOI怎么找? 1729705
邀请新用户注册赠送积分活动 833410
科研通“疑难数据库(出版商)”最低求助积分说明 780769