• 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

CABS-flex 预测的蛋白质柔性与 NMR ensemble 比较。

CABS-flex predictions of protein flexibility compared with NMR ensembles.

机构信息

Laboratory of Theory of Biopolymers, Faculty of Chemistry, University of Warsaw, Pasteura 1, Warsaw 02-093, Poland.

出版信息

Bioinformatics. 2014 Aug 1;30(15):2150-4. doi: 10.1093/bioinformatics/btu184. Epub 2014 Apr 15.

DOI:10.1093/bioinformatics/btu184
PMID:24735558
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4103595/
Abstract

MOTIVATION

Identification of flexible regions of protein structures is important for understanding of their biological functions. Recently, we have developed a fast approach for predicting protein structure fluctuations from a single protein model: the CABS-flex. CABS-flex was shown to be an efficient alternative to conventional all-atom molecular dynamics (MD). In this work, we evaluate CABS-flex and MD predictions by comparison with protein structural variations within NMR ensembles.

RESULTS

Based on a benchmark set of 140 proteins, we show that the relative fluctuations of protein residues obtained from CABS-flex are well correlated to those of NMR ensembles. On average, this correlation is stronger than that between MD and NMR ensembles. In conclusion, CABS-flex is useful and complementary to MD in predicting protein regions that undergo conformational changes as well as the extent of such changes.

AVAILABILITY AND IMPLEMENTATION

The CABS-flex is freely available to all users at http://biocomp.chem.uw.edu.pl/CABSflex.

CONTACT

sekmi@chem.uw.edu.pl

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

摘要

动机

识别蛋白质结构的柔性区域对于理解其生物功能非常重要。最近,我们开发了一种从单个蛋白质模型预测蛋白质结构波动的快速方法:CABS-flex。CABS-flex 被证明是传统全原子分子动力学(MD)的有效替代方法。在这项工作中,我们通过与 NMR 集合内的蛋白质结构变化进行比较来评估 CABS-flex 和 MD 的预测。

结果

基于 140 个蛋白质的基准集,我们表明,从 CABS-flex 获得的蛋白质残基的相对波动与 NMR 集合中的波动很好地相关。平均而言,这种相关性强于 MD 和 NMR 集合之间的相关性。总之,CABS-flex 在预测经历构象变化的蛋白质区域以及此类变化的程度方面,是 MD 的有用且互补的方法。

可用性和实现

CABS-flex 可在 http://biocomp.chem.uw.edu.pl/CABSflex 上免费供所有用户使用。

联系方式

sekmi@chem.uw.edu.pl

补充信息

补充数据可在 Bioinformatics 在线获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fc5/4103595/98d1df2913fa/btu184f2p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fc5/4103595/342f08f69691/btu184f1p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fc5/4103595/98d1df2913fa/btu184f2p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fc5/4103595/342f08f69691/btu184f1p.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0fc5/4103595/98d1df2913fa/btu184f2p.jpg

相似文献

1
CABS-flex predictions of protein flexibility compared with NMR ensembles.CABS-flex 预测的蛋白质柔性与 NMR ensemble 比较。
Bioinformatics. 2014 Aug 1;30(15):2150-4. doi: 10.1093/bioinformatics/btu184. Epub 2014 Apr 15.
2
CABS-flex: Server for fast simulation of protein structure fluctuations.CABS-flex:用于快速模拟蛋白质结构波动的服务器。
Nucleic Acids Res. 2013 Jul;41(Web Server issue):W427-31. doi: 10.1093/nar/gkt332. Epub 2013 May 8.
3
CABS-flex 2.0: a web server for fast simulations of flexibility of protein structures.CABS-flex 2.0:用于快速模拟蛋白质结构柔韧性的网络服务器。
Nucleic Acids Res. 2018 Jul 2;46(W1):W338-W343. doi: 10.1093/nar/gky356.
4
CABS-flex standalone: a simulation environment for fast modeling of protein flexibility.CABS-flex 独立版:用于快速建模蛋白质柔性的模拟环境。
Bioinformatics. 2019 Feb 15;35(4):694-695. doi: 10.1093/bioinformatics/bty685.
5
Protocols for Fast Simulations of Protein Structure Flexibility Using CABS-Flex and SURPASS.使用 CABS-Flex 和 SURPASS 进行蛋白质结构灵活性快速模拟的协议。
Methods Mol Biol. 2020;2165:337-353. doi: 10.1007/978-1-0716-0708-4_20.
6
Exploring protein functions from structural flexibility using CABS-flex modeling.利用 CABS-flex 建模探索蛋白质结构柔性的功能。
Protein Sci. 2024 Sep;33(9):e5090. doi: 10.1002/pro.5090.
7
Assessment of Four Theoretical Approaches to Predict Protein Flexibility in the Crystal Phase and Solution.评估四种理论方法预测晶体相和溶液中蛋白质柔性。
J Chem Theory Comput. 2024 Sep 10;20(17):7667-7681. doi: 10.1021/acs.jctc.4c00754. Epub 2024 Aug 22.
8
Highly Flexible Protein-Peptide Docking Using CABS-Dock.使用CABS-Dock进行高度灵活的蛋白质-肽对接
Methods Mol Biol. 2017;1561:69-94. doi: 10.1007/978-1-4939-6798-8_6.
9
One-Dimensional Structural Properties of Proteins in the Coarse-Grained CABS Model.粗粒度CABS模型中蛋白质的一维结构特性
Methods Mol Biol. 2017;1484:83-113. doi: 10.1007/978-1-4939-6406-2_8.
10
Modeling of protein-peptide interactions using the CABS-dock web server for binding site search and flexible docking.使用CABS-dock网络服务器进行结合位点搜索和柔性对接对蛋白质-肽相互作用进行建模。
Methods. 2016 Jan 15;93:72-83. doi: 10.1016/j.ymeth.2015.07.004. Epub 2015 Jul 10.

引用本文的文献

1
Pangenome-based network analysis of Acinetobacter baumannii reveals the landscape of conserved therapeutic targets.基于泛基因组的鲍曼不动杆菌网络分析揭示了保守治疗靶点的格局。
Mol Divers. 2025 Jun 23. doi: 10.1007/s11030-025-11252-0.
2
CABS-flex 3.0: an online tool for simulating protein structural flexibility and peptide modeling.CABS-flex 3.0:一种用于模拟蛋白质结构灵活性和肽建模的在线工具。
Nucleic Acids Res. 2025 Jul 7;53(W1):W95-W101. doi: 10.1093/nar/gkaf412.
3
Integrating AlphaFold pLDDT Scores into CABS-flex for enhanced protein flexibility simulations.

本文引用的文献

1
Consistent View of Protein Fluctuations from All-Atom Molecular Dynamics and Coarse-Grained Dynamics with Knowledge-Based Force-Field.基于知识力场的全原子分子动力学和粗粒化动力学对蛋白质波动的一致观点。
J Chem Theory Comput. 2013 Jan 8;9(1):119-25. doi: 10.1021/ct300854w. Epub 2012 Dec 18.
2
CABS-fold: Server for the de novo and consensus-based prediction of protein structure.CABS-fold:从头和基于共识的蛋白质结构预测服务器。
Nucleic Acids Res. 2013 Jul;41(Web Server issue):W406-11. doi: 10.1093/nar/gkt462. Epub 2013 Jun 8.
3
Structural dynamics flexibility informs function and evolution at a proteome scale.
将AlphaFold pLDDT分数整合到CABS-flex中以增强蛋白质柔性模拟。
Comput Struct Biotechnol J. 2024 Nov 30;23:4350-4356. doi: 10.1016/j.csbj.2024.11.047. eCollection 2024 Dec.
4
Importance of Secondary Structure Data in Large Scale Protein Modeling Using Low-Resolution SURPASS Method.使用低分辨率 SURPASS 方法进行大规模蛋白质建模中二级结构数据的重要性。
Methods Mol Biol. 2025;2867:55-78. doi: 10.1007/978-1-0716-4196-5_4.
5
Aggrescan4D: A comprehensive tool for pH-dependent analysis and engineering of protein aggregation propensity.Aggrescan4D:用于 pH 依赖性分析和蛋白质聚集倾向工程的综合工具。
Protein Sci. 2024 Oct;33(10):e5180. doi: 10.1002/pro.5180.
6
Exploring protein functions from structural flexibility using CABS-flex modeling.利用 CABS-flex 建模探索蛋白质结构柔性的功能。
Protein Sci. 2024 Sep;33(9):e5090. doi: 10.1002/pro.5090.
7
Assessment of Four Theoretical Approaches to Predict Protein Flexibility in the Crystal Phase and Solution.评估四种理论方法预测晶体相和溶液中蛋白质柔性。
J Chem Theory Comput. 2024 Sep 10;20(17):7667-7681. doi: 10.1021/acs.jctc.4c00754. Epub 2024 Aug 22.
8
Exploring the nuclear proteins, viral capsid protein, and early antigen protein using immunoinformatic and molecular modeling approaches to design a vaccine candidate against Epstein Barr virus.运用免疫信息学和分子建模方法探索核蛋白、病毒衣壳蛋白和早期抗原蛋白,设计针对 Epstein Barr 病毒的候选疫苗。
Sci Rep. 2024 Jul 22;14(1):16798. doi: 10.1038/s41598-024-66828-x.
9
Structure prediction of linear and cyclic peptides using CABS-flex.使用 CABS-flex 进行线性和环状肽的结构预测。
Brief Bioinform. 2024 Jan 22;25(2). doi: 10.1093/bib/bbae003.
10
Potential Antidiabetic Activity of β-sitosterol from Modulation of Peroxisome Proliferator-activated Receptor Gamma (PPARγ).β-谷甾醇通过调节过氧化物酶体增殖物激活受体γ(PPARγ)发挥潜在的抗糖尿病活性。
Comb Chem High Throughput Screen. 2024;27(11):1676-1699. doi: 10.2174/0113862073260323231120134826.
结构动力学柔性在蛋白质组范围内为功能和进化提供信息。
Evol Appl. 2013 Apr;6(3):423-33. doi: 10.1111/eva.12052. Epub 2013 Feb 13.
4
Combining coarse-grained protein models with replica-exchange all-atom molecular dynamics.将粗粒度蛋白质模型与副本交换全原子分子动力学相结合。
Int J Mol Sci. 2013 May 10;14(5):9893-905. doi: 10.3390/ijms14059893.
5
CABS-flex: Server for fast simulation of protein structure fluctuations.CABS-flex:用于快速模拟蛋白质结构波动的服务器。
Nucleic Acids Res. 2013 Jul;41(Web Server issue):W427-31. doi: 10.1093/nar/gkt332. Epub 2013 May 8.
6
Structure from NMR and molecular dynamics: Distance restraining inhibits motion in the essential subspace.从 NMR 和分子动力学看结构:距离约束抑制基本子空间中的运动。
J Biomol NMR. 1995 Jul;6(1):106-11. doi: 10.1007/BF00417496.
7
From coarse-grained to atomic-level characterization of protein dynamics: transition state for the folding of B domain of protein A.从粗粒到原子级的蛋白质动力学特性描述:A 蛋白 B 结构域折叠的过渡态。
J Phys Chem B. 2012 Jun 14;116(23):7026-32. doi: 10.1021/jp301720w. Epub 2012 Apr 19.
8
Structural features that predict real-value fluctuations of globular proteins.预测球状蛋白质真实价值波动的结构特征。
Proteins. 2012 May;80(5):1425-35. doi: 10.1002/prot.24040. Epub 2012 Feb 13.
9
Synergistic applications of MD and NMR for the study of biological systems.MD和NMR在生物系统研究中的协同应用。
J Biomed Biotechnol. 2012;2012:254208. doi: 10.1155/2012/254208. Epub 2012 Jan 26.
10
Understanding biomolecular motion, recognition, and allostery by use of conformational ensembles.利用构象系综理解生物分子的运动、识别和变构。
Eur Biophys J. 2011 Dec;40(12):1339-55. doi: 10.1007/s00249-011-0754-8. Epub 2011 Nov 17.