• 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

相似文献

1
Predictive energy landscapes for folding membrane protein assemblies.用于折叠膜蛋白组装体的预测能量景观。
J Chem Phys. 2015 Dec 28;143(24):243101. doi: 10.1063/1.4929598.
2
Predictive energy landscapes for folding α-helical transmembrane proteins.预测α-螺旋跨膜蛋白折叠的能量景观。
Proc Natl Acad Sci U S A. 2014 Jul 29;111(30):11031-6. doi: 10.1073/pnas.1410529111. Epub 2014 Jul 16.
3
The Associative Memory, Water Mediated, Structure and Energy Model (AWSEM)-Amylometer: Predicting Amyloid Propensity and Fibril Topology Using an Optimized Folding Landscape Model.水介导关联记忆结构与能量模型(AWSEM)-淀粉测定仪:利用优化的折叠景观模型预测淀粉样肽倾向和原纤维拓扑结构
ACS Chem Neurosci. 2018 May 16;9(5):1027-1039. doi: 10.1021/acschemneuro.7b00436. Epub 2018 Jan 10.
4
Electrostatics, structure prediction, and the energy landscapes for protein folding and binding.静电学、结构预测以及蛋白质折叠与结合的能量景观
Protein Sci. 2016 Jan;25(1):255-69. doi: 10.1002/pro.2751. Epub 2015 Aug 8.
5
Template-Guided Protein Structure Prediction and Refinement Using Optimized Folding Landscape Force Fields.基于优化折叠景观力场的模板引导蛋白结构预测和精修。
J Chem Theory Comput. 2018 Nov 13;14(11):6102-6116. doi: 10.1021/acs.jctc.8b00683. Epub 2018 Oct 8.
6
Predictive energy landscapes for protein-protein association.蛋白质-蛋白质相互作用的预测能量景观。
Proc Natl Acad Sci U S A. 2012 Nov 20;109(47):19244-9. doi: 10.1073/pnas.1216215109. Epub 2012 Nov 5.
7
Protein structure prediction: making AWSEM AWSEM-ER by adding evolutionary restraints.蛋白质结构预测:通过添加进化约束使AWSEM成为AWSEM-ER
Proteins. 2017 Nov;85(11):2127-2142. doi: 10.1002/prot.25367. Epub 2017 Aug 27.
8
A survey of flexible protein binding mechanisms and their transition states using native topology based energy landscapes.基于天然拓扑结构的能量景观对柔性蛋白质结合机制及其过渡态的研究。
J Mol Biol. 2005 Mar 4;346(4):1121-45. doi: 10.1016/j.jmb.2004.12.021. Epub 2005 Jan 26.
9
AWSEM-Suite: a protein structure prediction server based on template-guided, coevolutionary-enhanced optimized folding landscapes.AWSEM-Suite:一个基于模板引导、共进化增强优化折叠景观的蛋白质结构预测服务器。
Nucleic Acids Res. 2020 Jul 2;48(W1):W25-W30. doi: 10.1093/nar/gkaa356.
10
Analyzing the effect of homogeneous frustration in protein folding.分析蛋白质折叠中均匀挫折的影响。
Proteins. 2013 Oct;81(10):1727-37. doi: 10.1002/prot.24309. Epub 2013 Jul 22.

引用本文的文献

1
Thermodynamics and folding landscapes of large proteins from a statistical mechanical model.基于统计力学模型的大型蛋白质的热力学与折叠景观
Curr Res Struct Biol. 2019 Oct 23;1:6-12. doi: 10.1016/j.crstbi.2019.10.002. eCollection 2019 Nov.
2
From System Modeling to System Analysis: The Impact of Resolution Level and Resolution Distribution in the Computer-Aided Investigation of Biomolecules.从系统建模到系统分析:分辨率水平和分辨率分布在生物分子计算机辅助研究中的影响
Front Mol Biosci. 2021 Jun 7;8:676976. doi: 10.3389/fmolb.2021.676976. eCollection 2021.
3
OpenAWSEM with Open3SPN2: A fast, flexible, and accessible framework for large-scale coarse-grained biomolecular simulations.结合Open3SPN2的OpenAWSEM:用于大规模粗粒度生物分子模拟的快速、灵活且易用的框架。
PLoS Comput Biol. 2021 Feb 12;17(2):e1008308. doi: 10.1371/journal.pcbi.1008308. eCollection 2021 Feb.
4
Energy landscape underlying spontaneous insertion and folding of an alpha-helical transmembrane protein into a bilayer.螺旋跨膜蛋白自发插入双层膜并折叠的能量景观。
Nat Commun. 2018 Nov 23;9(1):4949. doi: 10.1038/s41467-018-07320-9.
5
AWSEM-IDP: A Coarse-Grained Force Field for Intrinsically Disordered Proteins.AWSEM-IDP:一种用于固有无序蛋白质的粗粒度力场。
J Phys Chem B. 2018 Dec 13;122(49):11115-11125. doi: 10.1021/acs.jpcb.8b05791. Epub 2018 Aug 9.
6
Protein Folding and Structure Prediction from the Ground Up II: AAWSEM for α/β Proteins.从头开始的蛋白质折叠和结构预测 II:用于 α/β 蛋白质的 AAWSEM。
J Phys Chem B. 2017 Apr 20;121(15):3473-3482. doi: 10.1021/acs.jpcb.6b09347. Epub 2016 Nov 11.
7
The cellular membrane as a mediator for small molecule interaction with membrane proteins.细胞膜作为小分子与膜蛋白相互作用的介质。
Biochim Biophys Acta. 2016 Oct;1858(10):2290-2304. doi: 10.1016/j.bbamem.2016.04.016. Epub 2016 May 6.
8
Atomic-level description of protein-lipid interactions using an accelerated membrane model.使用加速膜模型对蛋白质-脂质相互作用进行原子水平的描述。
Biochim Biophys Acta. 2016 Jul;1858(7 Pt B):1573-83. doi: 10.1016/j.bbamem.2016.02.027. Epub 2016 Mar 2.
9
Topological constraints and modular structure in the folding and functional motions of GlpG, an intramembrane protease.膜内蛋白酶GlpG折叠与功能运动中的拓扑限制和模块化结构
Proc Natl Acad Sci U S A. 2016 Feb 23;113(8):2098-103. doi: 10.1073/pnas.1524027113. Epub 2016 Feb 8.

本文引用的文献

1
Learning To Fold Proteins Using Energy Landscape Theory.利用能量景观理论学习蛋白质折叠
Isr J Chem. 2014 Aug;54(8-9):1311-1337. doi: 10.1002/ijch.201300145.
2
Predictive energy landscapes for folding α-helical transmembrane proteins.预测α-螺旋跨膜蛋白折叠的能量景观。
Proc Natl Acad Sci U S A. 2014 Jul 29;111(30):11031-6. doi: 10.1073/pnas.1410529111. Epub 2014 Jul 16.
3
Predictive energy landscapes for protein-protein association.蛋白质-蛋白质相互作用的预测能量景观。
Proc Natl Acad Sci U S A. 2012 Nov 20;109(47):19244-9. doi: 10.1073/pnas.1216215109. Epub 2012 Nov 5.
4
Knowledge-based potential for positioning membrane-associated structures and assessing residue-specific energetic contributions.基于知识的定位膜相关结构和评估残基特异性能量贡献的潜力。
Structure. 2012 May 9;20(5):924-35. doi: 10.1016/j.str.2012.03.016.
5
AWSEM-MD: protein structure prediction using coarse-grained physical potentials and bioinformatically based local structure biasing.AWSEM-MD:使用粗粒度物理势能和基于生物信息学的局部结构偏差进行蛋白质结构预测。
J Phys Chem B. 2012 Jul 26;116(29):8494-503. doi: 10.1021/jp212541y. Epub 2012 May 10.
6
Transmembrane protein topology prediction using support vector machines.使用支持向量机进行跨膜蛋白拓扑结构预测。
BMC Bioinformatics. 2009 May 26;10:159. doi: 10.1186/1471-2105-10-159.
7
Statistically optimal analysis of samples from multiple equilibrium states.来自多个平衡态样本的统计最优分析。
J Chem Phys. 2008 Sep 28;129(12):124105. doi: 10.1063/1.2978177.
8
Membrane-protein topology.膜蛋白拓扑结构
Nat Rev Mol Cell Biol. 2006 Dec;7(12):909-18. doi: 10.1038/nrm2063.
9
Role of topology, nonadditivity, and water-mediated interactions in predicting the structures of alpha/beta proteins.拓扑结构、非加和性及水介导相互作用在预测α/β蛋白质结构中的作用
J Am Chem Soc. 2006 Apr 19;128(15):5168-76. doi: 10.1021/ja058589v.
10
Structure of the rotor of the V-Type Na+-ATPase from Enterococcus hirae.来自平肠球菌的V型钠-ATP酶转子的结构。
Science. 2005 Apr 29;308(5722):654-9. doi: 10.1126/science.1110064. Epub 2005 Mar 31.

用于折叠膜蛋白组装体的预测能量景观。

Predictive energy landscapes for folding membrane protein assemblies.

作者信息

Truong Ha H, Kim Bobby L, Schafer Nicholas P, Wolynes Peter G

机构信息

Department of Chemistry, Rice University, Houston, Texas 77005, USA.

Center for Theoretical Biological Physics, Rice University, Houston, Texas 77005, USA.

出版信息

J Chem Phys. 2015 Dec 28;143(24):243101. doi: 10.1063/1.4929598.

DOI:10.1063/1.4929598
PMID:26723586
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4552702/
Abstract

We study the energy landscapes for membrane protein oligomerization using the Associative memory, Water mediated, Structure and Energy Model with an implicit membrane potential (AWSEM-membrane), a coarse-grained molecular dynamics model previously optimized under the assumption that the energy landscapes for folding α-helical membrane protein monomers are funneled once their native topology within the membrane is established. In this study we show that the AWSEM-membrane force field is able to sample near native binding interfaces of several oligomeric systems. By predicting candidate structures using simulated annealing, we further show that degeneracies in predicting structures of membrane protein monomers are generally resolved in the folding of the higher order assemblies as is the case in the assemblies of both nicotinic acetylcholine receptor and V-type Na(+)-ATPase dimers. The physics of the phenomenon resembles domain swapping, which is consistent with the landscape following the principle of minimal frustration. We revisit also the classic Khorana study of the reconstitution of bacteriorhodopsin from its fragments, which is the close analogue of the early Anfinsen experiment on globular proteins. Here, we show the retinal cofactor likely plays a major role in selecting the final functional assembly.

摘要

我们使用具有隐式膜电位的关联记忆、水介导、结构和能量模型(AWSEM-膜)来研究膜蛋白寡聚化的能量景观,这是一种粗粒度分子动力学模型,之前在假设α-螺旋膜蛋白单体在膜内建立其天然拓扑结构后折叠的能量景观呈漏斗状的前提下进行了优化。在本研究中,我们表明AWSEM-膜力场能够对几个寡聚系统的近天然结合界面进行采样。通过使用模拟退火预测候选结构,我们进一步表明,在预测膜蛋白单体结构时的简并性在高阶组装体折叠过程中通常会得到解决,烟碱型乙酰胆碱受体和V型Na(+)-ATP酶二聚体的组装情况就是如此。该现象的物理原理类似于结构域交换,这与遵循最小受挫原则的能量景观一致。我们还重新审视了经典的霍拉纳(Khorana)关于从细菌视紫红质片段重建细菌视紫红质的研究,这类似于早期安芬森(Anfinsen)对球状蛋白的实验。在这里,我们表明视网膜辅因子可能在选择最终功能组装体中起主要作用。