• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

分子动力学模拟:挑战与机遇——一位生物学家的展望

Molecular Dynamics Simulations, Challenges and Opportunities: A Biologist's Prospective.

作者信息

Kumari Indu, Sandhu Padmani, Ahmed Mushtaq, Akhter Yusuf

机构信息

Department of Environmental Science, School of Earth and Environmental Sciences, Central University of Himachal Pradesh, Shahpur, District-Kangra, Himachal Pradesh 176206. India.

Centre for Computational Biology and Bioinformatics, School of Life Sciences, Central University of Himachal Pradesh, Shahpur, District-Kangra, Himachal Pradesh 176206. India.

出版信息

Curr Protein Pept Sci. 2017 Aug 30;18(11):1163-1179. doi: 10.2174/1389203718666170622074741.

DOI:10.2174/1389203718666170622074741
PMID:28637405
Abstract

Molecular dynamics (MD) is a computational technique which is used to study biomolecules in virtual environment. Each of the constituent atoms represents a particle and hence the biomolecule embodies a multi-particle mechanical system analyzed within a simulation box during MD analysis. The potential energies of the atoms are explained by a mathematical expression consisting of different forces and space parameters. There are various software and force fields that have been developed for MD studies of the biomolecules. MD analysis has unravelled the various biological mechanisms (protein folding/unfolding, protein-small molecule interactions, protein-protein interactions, DNA/RNA-protein interactions, proteins embedded in membrane, lipid-lipid interactions, drug transport etc.) operating at the atomic and molecular levels. However, there are still some parameters including torsions in amino acids, carbohydrates (whose structure is extended and not well defined like that of proteins) and single stranded nucleic acids for which the force fields need further improvement, although there are several workers putting in constant efforts in these directions. The existing force fields are not efficient for studying the crowded environment inside the cells, since these interactions involve multiple factors in real time. Therefore, the improved force fields may provide the opportunities for their wider applications on the complex biosystems in diverse cellular conditions. In conclusion, the intervention of MD in the basic sciences involving interdisciplinary approaches will be helpful for understanding many fundamental biological and physiological processes at the molecular levels that may be further applied in various fields including biotechnology, fisheries, sustainable agriculture and biomedical research.

摘要

分子动力学(MD)是一种计算技术,用于在虚拟环境中研究生物分子。每个组成原子都代表一个粒子,因此生物分子体现了一个多粒子力学系统,在分子动力学分析过程中,该系统在模拟盒内进行分析。原子的势能由一个由不同力和空间参数组成的数学表达式来解释。已经开发了各种软件和力场用于生物分子的分子动力学研究。分子动力学分析揭示了在原子和分子水平上运行的各种生物学机制(蛋白质折叠/去折叠、蛋白质-小分子相互作用、蛋白质-蛋白质相互作用、DNA/RNA-蛋白质相互作用、嵌入膜中的蛋白质、脂质-脂质相互作用、药物转运等)。然而,仍然存在一些参数,包括氨基酸中的扭转、碳水化合物(其结构是扩展的,不像蛋白质那样定义明确)和单链核酸,尽管有几位研究人员在这些方面不断努力,但这些参数的力场仍需要进一步改进。现有的力场对于研究细胞内拥挤的环境并不有效,因为这些相互作用实时涉及多个因素。因此,改进后的力场可能为它们在不同细胞条件下的复杂生物系统中的更广泛应用提供机会。总之,分子动力学在涉及跨学科方法的基础科学中的介入将有助于在分子水平上理解许多基本的生物学和生理过程,这些过程可能会进一步应用于包括生物技术、渔业、可持续农业和生物医学研究在内的各个领域。

相似文献

1
Molecular Dynamics Simulations, Challenges and Opportunities: A Biologist's Prospective.分子动力学模拟:挑战与机遇——一位生物学家的展望
Curr Protein Pept Sci. 2017 Aug 30;18(11):1163-1179. doi: 10.2174/1389203718666170622074741.
2
Frontiers in molecular dynamics simulations of DNA.DNA 的分子动力学模拟研究前沿
Acc Chem Res. 2012 Feb 21;45(2):196-205. doi: 10.1021/ar2001217. Epub 2011 Aug 10.
3
RNA force field with accuracy comparable to state-of-the-art protein force fields.具有与最先进蛋白质力场相媲美的精度的 RNA 力场。
Proc Natl Acad Sci U S A. 2018 Feb 13;115(7):E1346-E1355. doi: 10.1073/pnas.1713027115. Epub 2018 Jan 29.
4
Developments and Applications of Coil-Library-Based Residue-Specific Force Fields for Molecular Dynamics Simulations of Peptides and Proteins.基于线圈库的残基特异力场在肽和蛋白质的分子动力学模拟中的发展与应用。
J Chem Theory Comput. 2019 May 14;15(5):2761-2773. doi: 10.1021/acs.jctc.8b00794. Epub 2019 Apr 8.
5
Comparison of protein force fields for molecular dynamics simulations.用于分子动力学模拟的蛋白质力场比较。
Methods Mol Biol. 2008;443:63-88. doi: 10.1007/978-1-59745-177-2_4.
6
Combination of the CHARMM27 force field with united-atom lipid force fields.CHARMM27 力场与统一原子脂质力场的结合。
J Comput Chem. 2011 May;32(7):1400-10. doi: 10.1002/jcc.21726. Epub 2010 Dec 31.
7
Molecular recognition of RNA: challenges for modelling interactions and plasticity.RNA 的分子识别:建模相互作用和可塑性的挑战。
J Mol Recognit. 2010 Mar-Apr;23(2):220-31. doi: 10.1002/jmr.1000.
8
Coupled binding-bending-folding: The complex conformational dynamics of protein-DNA binding studied by atomistic molecular dynamics simulations.耦合结合-弯曲-折叠:通过原子分子动力学模拟研究蛋白质-DNA结合的复杂构象动力学。
Biochim Biophys Acta. 2015 May;1850(5):1091-1098. doi: 10.1016/j.bbagen.2014.08.009. Epub 2014 Aug 23.
9
Some practical approaches to treating electrostatic polarization of proteins.一些处理蛋白质静电极化的实用方法。
Acc Chem Res. 2014 Sep 16;47(9):2795-803. doi: 10.1021/ar500094n. Epub 2014 Jun 2.
10
CHARMM additive and polarizable force fields for biophysics and computer-aided drug design.用于生物物理学和计算机辅助药物设计的CHARMM加和式与可极化力场。
Biochim Biophys Acta. 2015 May;1850(5):861-871. doi: 10.1016/j.bbagen.2014.08.004. Epub 2014 Aug 19.

引用本文的文献

1
Network pharmacology, molecular docking, molecular dynamics simulation, and experiment verification analysis to reveal the action mechanism of RenShen Guipi Wan in the treatment of anemia.通过网络药理学、分子对接、分子动力学模拟和实验验证分析揭示人参归脾丸治疗贫血的作用机制。
Biotechnol Lett. 2025 Apr 16;47(3):43. doi: 10.1007/s10529-025-03580-w.
2
Virtual screening: hope, hype, and the fine line in between.虚拟筛选:希望、炒作与二者之间的微妙界限。
Expert Opin Drug Discov. 2025 Feb;20(2):145-162. doi: 10.1080/17460441.2025.2458666. Epub 2025 Jan 27.
3
A Chronicle Review of Approaches for Discovering Novel Antimicrobial Agents to Combat Antimicrobial Resistance.
对抗耐药性的新型抗菌药物发现方法编年史回顾
Indian J Microbiol. 2024 Sep;64(3):879-893. doi: 10.1007/s12088-024-01355-x. Epub 2024 Jul 22.
4
Identification of molecular targets of Trigonelline for treating breast cancer through network pharmacology and bioinformatics-based prediction.通过基于网络药理学和生物信息学的预测鉴定胡芦巴碱治疗乳腺癌的分子靶点。
Mol Divers. 2024 Dec;28(6):3835-3857. doi: 10.1007/s11030-023-10780-x. Epub 2023 Dec 25.
5
The Power of Molecular Dynamics Simulations and Their Applications to Discover Cysteine Protease Inhibitors.分子动力学模拟的威力及其在发现半胱氨酸蛋白酶抑制剂中的应用。
Mini Rev Med Chem. 2024;24(11):1125-1146. doi: 10.2174/1389557523666230901152257.
6
The Mechanism Underlying the Amylose-Zein Complexation Process and the Stability of the Molecular Conformation of Amylose-Zein Complexes in Water Based on Molecular Dynamics Simulation.基于分子动力学模拟的直链淀粉-玉米醇溶蛋白复合过程的潜在机制及直链淀粉-玉米醇溶蛋白复合物在水中分子构象的稳定性
Foods. 2023 Mar 27;12(7):1418. doi: 10.3390/foods12071418.
7
Current Trends and Changes in Use of Membrane Molecular Dynamics Simulations within Academia and the Pharmaceutical Industry.学术界和制药行业中膜分子动力学模拟应用的当前趋势与变化
Membranes (Basel). 2023 Jan 24;13(2):148. doi: 10.3390/membranes13020148.
8
A look at the face of the molten globule: Structural model of the Helicobacter pylori apoflavodoxin ensemble at acidic pH.看看熔融小球的表面:酸性 pH 值下幽门螺杆菌脱辅基黄素蛋白整体的结构模型。
Protein Sci. 2022 Nov;31(11):e4445. doi: 10.1002/pro.4445.
9
finDr: A web server for D-peptide ligand identification.finDr:用于鉴定D-肽配体的网络服务器。
Synth Syst Biotechnol. 2021 Nov 23;6(4):402-413. doi: 10.1016/j.synbio.2021.11.004. eCollection 2021 Dec.