• 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

粗粒度模型:以更少的资源获取更多的成果。

Coarse-grained models: getting more with less.

机构信息

Department of Physics, 402N. Blackford St., LD154D, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA.

出版信息

Curr Opin Pharmacol. 2010 Dec;10(6):753-9. doi: 10.1016/j.coph.2010.09.003. Epub 2010 Sep 29.

DOI:10.1016/j.coph.2010.09.003
PMID:20888293
Abstract

There has recently been a proliferation of simplified, coarse-grained models to study aspects of biomolecular dynamics, binding, assembly and folding. Despite differences in construction these various coarse-grained models share a common underlying desire to identify the minimal set of variables required to realistically describe the essence of these molecules. Recent results emphasizing common and distinctive features are highlighted. For someone not involved in developing such models it is a daunting task to decide which, if any, coarse-grained model would be appropriate for a given system. Although this decision ultimately depends upon what kinds of questions one is probing, suggestions about reaching a conclusion are provided.

摘要

最近出现了许多简化的粗粒模型,用于研究生物分子动力学、结合、组装和折叠的各个方面。尽管在构建上存在差异,但这些不同的粗粒模型都有一个共同的基本愿望,即确定描述这些分子本质所需的最小变量集。最近强调共同和独特特征的结果被突出显示。对于没有参与开发此类模型的人来说,决定使用哪个(如果有的话)粗粒模型适合给定系统是一项艰巨的任务。尽管最终的决定取决于人们要研究的问题种类,但对于得出结论提供了一些建议。

相似文献

1
Coarse-grained models: getting more with less.粗粒度模型:以更少的资源获取更多的成果。
Curr Opin Pharmacol. 2010 Dec;10(6):753-9. doi: 10.1016/j.coph.2010.09.003. Epub 2010 Sep 29.
2
Coarse-grained models of protein folding: toy models or predictive tools?蛋白质折叠的粗粒度模型:玩具模型还是预测工具?
Curr Opin Struct Biol. 2008 Feb;18(1):10-5. doi: 10.1016/j.sbi.2007.10.005. Epub 2007 Dec 21.
3
Ab initio discrete molecular dynamics approach to protein folding and aggregation.用于蛋白质折叠和聚集的从头算离散分子动力学方法。
Methods Enzymol. 2006;412:314-38. doi: 10.1016/S0076-6879(06)12019-4.
4
Coarse-grained models for proteins.蛋白质的粗粒度模型。
Curr Opin Struct Biol. 2005 Apr;15(2):144-50. doi: 10.1016/j.sbi.2005.02.005.
5
A coarse-grained Langevin molecular dynamics approach to de novo protein structure prediction.一种用于从头蛋白质结构预测的粗粒度朗之万分子动力学方法。
Biochem Biophys Res Commun. 2008 May 2;369(2):500-6. doi: 10.1016/j.bbrc.2008.02.048. Epub 2008 Feb 21.
6
Cooperativity, local-nonlocal coupling, and nonnative interactions: principles of protein folding from coarse-grained models.协同性、局部-非局部耦合与非天然相互作用:基于粗粒度模型的蛋白质折叠原理
Annu Rev Phys Chem. 2011;62:301-26. doi: 10.1146/annurev-physchem-032210-103405.
7
Separation of time scale and coupling in the motion governed by the coarse-grained and fine degrees of freedom in a polypeptide backbone.多肽主链中粗粒度和细粒度自由度所支配运动的时间尺度分离与耦合
J Chem Phys. 2007 Oct 21;127(15):155103. doi: 10.1063/1.2784200.
8
Protocols for efficient simulations of long-time protein dynamics using coarse-grained CABS model.使用粗粒度CABS模型进行长时间蛋白质动力学高效模拟的协议。
Methods Mol Biol. 2014;1137:235-50. doi: 10.1007/978-1-4939-0366-5_16.
9
A coarse-grained protein force field for folding and structure prediction.一种用于折叠和结构预测的粗粒度蛋白质力场。
Proteins. 2007 Nov 1;69(2):394-408. doi: 10.1002/prot.21505.
10
Large-scale comparison of protein essential dynamics from molecular dynamics simulations and coarse-grained normal mode analyses.大规模比较分子动力学模拟和粗粒化正则模态分析的蛋白质基本动力学。
Proteins. 2010 Dec;78(16):3341-52. doi: 10.1002/prot.22841.

引用本文的文献

1
Advanced computational approaches to understand protein aggregation.用于理解蛋白质聚集的先进计算方法。
Biophys Rev (Melville). 2024 Apr 24;5(2):021302. doi: 10.1063/5.0180691. eCollection 2024 Jun.
2
Less Is More: Coarse-Grained Integrative Modeling of Large Biomolecular Assemblies with HADDOCK.少即是多:用 HADDOCK 对大型生物分子组装体进行粗粒整合建模。
J Chem Theory Comput. 2019 Nov 12;15(11):6358-6367. doi: 10.1021/acs.jctc.9b00310. Epub 2019 Oct 10.
3
Characterization of Lipid-Protein Interactions and Lipid-Mediated Modulation of Membrane Protein Function through Molecular Simulation.
通过分子模拟研究脂质-蛋白相互作用及脂质对膜蛋白功能的调控。
Chem Rev. 2019 May 8;119(9):6086-6161. doi: 10.1021/acs.chemrev.8b00608. Epub 2019 Apr 12.
4
ClustENM: ENM-Based Sampling of Essential Conformational Space at Full Atomic Resolution.ClustENM:基于全原子分辨率下基本构象空间的基于ENM的采样。
J Chem Theory Comput. 2016 Sep 13;12(9):4549-62. doi: 10.1021/acs.jctc.6b00319. Epub 2016 Aug 18.
5
Coarse-grained simulations of protein-protein association: an energy landscape perspective.蛋白质-蛋白质缔合的粗粒化模拟:一种能量景观视角。
Biophys J. 2012 Aug 22;103(4):837-45. doi: 10.1016/j.bpj.2012.07.013.
6
Calculating ensemble averaged descriptions of protein rigidity without sampling.无需采样即可计算蛋白质刚性的集合平均描述。
PLoS One. 2012;7(2):e29176. doi: 10.1371/journal.pone.0029176. Epub 2012 Feb 22.