Molecular simulations of proteins: From simplified physical interactions to complex biological phenomena

分子动力学 力场(虚构) 计算机科学 功能(生物学) 领域(数学) 统计物理学 纳米技术 物理 化学 人工智能 计算化学 材料科学 生物 数学 进化生物学 纯数学
作者
Bruno Rizzuti
出处
期刊:Biochimica Et Biophysica Acta - Proteins And Proteomics [Elsevier BV]
卷期号:1870 (3): 140757-140757 被引量:26
标识
DOI:10.1016/j.bbapap.2022.140757
摘要

Molecular dynamics simulation is the most popular computational technique for investigating the structural and dynamical behaviour of proteins, in search of the molecular basis of their function. Far from being a completely settled field of research, simulations are still evolving to best capture the essential features of the atomic interactions that govern a protein's inner motions. Modern force fields are becoming increasingly accurate in providing a physical description adequate to this purpose, and allow us to model complex biological systems under fairly realistic conditions. Furthermore, the use of accelerated sampling techniques is improving our access to the observation of progressively larger molecular structures, longer time scales, and more hidden functional events. In this review, the basic principles of molecular dynamics simulations and a number of key applications in the area of protein science are summarized, and some of the most important results are discussed. Examples include the study of the structure, dynamics and binding properties of 'difficult' targets, such as intrinsically disordered proteins and membrane receptors, and the investigation of challenging phenomena like hydration-driven processes and protein aggregation. The findings described provide an overall picture of the current state of this research field, and indicate new perspectives on the road ahead to the upcoming future of molecular simulations.

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
hhh涵发布了新的文献求助10
刚刚
2秒前
小羊完成签到 ,获得积分10
2秒前
2秒前
咚咚糖发布了新的文献求助10
2秒前
酷波er应助胡图图采纳,获得10
2秒前
HappyR完成签到,获得积分10
2秒前
orixero应助angelinazh采纳,获得10
4秒前
4秒前
无情胡萝卜完成签到,获得积分10
5秒前
机智醉波完成签到,获得积分10
5秒前
6秒前
李继宏发布了新的文献求助10
6秒前
7秒前
小白菜阿唐完成签到,获得积分10
7秒前
Lyuoah发布了新的文献求助10
8秒前
可爱的函函应助正直听白采纳,获得10
8秒前
9秒前
10秒前
11秒前
11秒前
RR发布了新的文献求助10
11秒前
Claudia黄完成签到 ,获得积分10
13秒前
14秒前
14秒前
香蕉觅云应助笨笨支付宝采纳,获得10
14秒前
无私代芹发布了新的文献求助10
14秒前
FashionBoy应助陶醉的白晴采纳,获得10
14秒前
cyyyyyyyyyy发布了新的文献求助10
15秒前
15秒前
15秒前
15秒前
15秒前
李雅秋完成签到,获得积分10
16秒前
16秒前
wintory完成签到,获得积分10
18秒前
Zhang发布了新的文献求助10
18秒前
xx7508完成签到,获得积分10
19秒前
西瓜完成签到,获得积分10
20秒前
skyveblue完成签到,获得积分10
21秒前
高分求助中
The Wiley Blackwell Companion to Diachronic and Historical Linguistics 3000
HANDBOOK OF CHEMISTRY AND PHYSICS 106th edition 1000
ASPEN Adult Nutrition Support Core Curriculum, Fourth Edition 1000
AnnualResearch andConsultation Report of Panorama survey and Investment strategy onChinaIndustry 1000
Decentring Leadership 800
Signals, Systems, and Signal Processing 610
GMP in Practice: Regulatory Expectations for the Pharmaceutical Industry 500
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 6286667
求助须知:如何正确求助?哪些是违规求助? 8105419
关于积分的说明 16952333
捐赠科研通 5352016
什么是DOI,文献DOI怎么找? 2844237
邀请新用户注册赠送积分活动 1821609
关于科研通互助平台的介绍 1677853