Automated structure modeling of large protein assemblies using crosslinks as distance restraints

被引:0
|
作者
Ferber M. [1 ]
Kosinski J. [2 ]
Ori A. [2 ,3 ]
Rashid U.J. [2 ]
Moreno-Morcillo M. [2 ,4 ]
Simon B. [2 ]
Bouvier G. [1 ]
Batista P.R. [1 ,5 ]
Muller C.W. [2 ]
Beck M. [2 ]
Nilges M. [1 ]
机构
[1] Institut Pasteur, Unité de Bioinformatique Structurale, Département de Biologie Structurale et Chimie, Paris
[2] European Molecular Biology Laboratory, Structural and Computational Biology Unit, Heidelberg
[3] Leibniz Institute on Aging-Fritz Lipmann Institute, Jena
[4] Structural Bases of Genome Integrity Group, Structural Biology and Biocomputing Programme, Spanish National Cancer Research Centre, Madrid
[5] Fundacąõ Oswaldo Cruz, Programa de Computacąõ Científica, Rio de Janeiro
关键词
D O I
10.1038/nmeth.3838
中图分类号
学科分类号
摘要
Crosslinking mass spectrometry is increasingly used for structural characterization of multisubunit protein complexes. Chemical crosslinking captures conformational heterogeneity, which typically results in conflicting crosslinks that cannot be satisfied in a single model, making detailed modeling a challenging task. Here we introduce an automated modeling method dedicated to large protein assemblies ('XL-MOD' software is available at http://aria.pasteur.fr/supplementary-data/x-links) that (i) uses a form of spatial restraints that realistically reflects the distribution of experimentally observed crosslinked distances; (ii) automatically deals with ambiguous and/or conflicting crosslinks and identifies alternative conformations within a Bayesian framework; and (iii) allows subunit structures to be flexible during conformational sampling. We demonstrate our method by testing it on known structures and available crosslinking data. We also crosslinked and modeled the 17-subunit yeast RNA polymerase III at atomic resolution; the resulting model agrees remarkably well with recently published cryoelectron microscopy structures and provides additional insights into the polymerase structure. © 2016 Nature America, Inc.
引用
收藏
页码:515 / 520
页数:5
相关论文
共 50 条
  • [1] Automated structure modeling of large protein assemblies using crosslinks as distance restraints
    Ferber, Mathias
    Kosinski, Jan
    Ori, Alessandro
    Rashid, Umar J.
    Moreno-Morcillo, Maria
    Simon, Bernd
    Bouvier, Guillaume
    Batista, Paulo Ricardo
    Mueller, Christoph W.
    Beck, Martin
    Nilges, Michael
    NATURE METHODS, 2016, 13 (06) : 515 - +
  • [2] Correction: Corrigendum: Automated structure modeling of large protein assemblies using crosslinks as distance restraints
    Mathias Ferber
    Jan Kosinski
    Alessandro Ori
    Umar J Rashid
    María Moreno-Morcillo
    Bernd Simon
    Guillaume Bouvier
    Paulo Ricardo Batista
    Christoph W Müller
    Martin Beck
    Michael Nilges
    Nature Methods, 2018, 15 : 226 - 226
  • [3] Automated structure modeling of large protein assemblies using crosslinks as distance restraints (vol 13, pg 515, 2016)
    Ferber, Mathias
    Kosinski, Jan
    Ori, Alessandro
    Rashid, Umar J.
    Moreno-Morcillo, Mar-A
    Simon, Bernd
    Bouvier, Guillaume
    Batista, Paulo Ricardo
    Mueller, Christoph W.
    Beck, Martin
    Nilges, Michael
    NATURE METHODS, 2018, 15 (03) : 226 - 226
  • [4] Methodology for rigorous modeling of protein conformational changes by Rosetta using DEER Distance Restraints
    del Alamo, Diego
    Jagessar, Kevin L.
    Meiler, Jens
    Mchaourab, Hassane S.
    PLOS COMPUTATIONAL BIOLOGY, 2021, 17 (06)
  • [5] Optimal Selection of EPR Distance Restraints for Global Folding of Protein Structure
    Kazmier, Kelli
    Alexander, Nathan S.
    Meiler, Jens
    Mchaourab, Hassane S.
    BIOPHYSICAL JOURNAL, 2010, 98 (03) : 571A - 572A
  • [6] Protein Structure Calculation using Ambiguous Restraints
    Nilges M.
    Malliavin T.
    Bardiaux B.
    eMagRes, 2010, 2010
  • [7] Tightening the Crosslinking Distance Restraints for Better Resolution of Protein Structure and Dynamics
    Gong, Zhou
    Ye, Shang-Xiang
    Tang, Chun
    STRUCTURE, 2020, 28 (10) : 1160 - +
  • [8] The Importance of Non-accessible Crosslinks and Solvent Accessible Surface Distance in Modeling Proteins with Restraints From Crosslinking Mass Spectrometry
    Bullock, Joshua Matthew Allen
    Schwab, Jannik
    Thalassinos, Konstantinos
    Topf, Maya
    MOLECULAR & CELLULAR PROTEOMICS, 2016, 15 (07) : 2491 - 2500
  • [9] Identifying the minimal sets of distance restraints for FRET-assisted protein structural modeling
    Liu, Zhuoyi
    Grigas, Alex T.
    Sumner, Jacob
    Knab, Edward
    Davis, Caitlin M.
    O'Hern, Corey S.
    PROTEIN SCIENCE, 2024, 33 (12)
  • [10] Protein structure prediction using deep learning distance and hydrogen-bonding restraints in CASP14
    Zheng, Wei
    Li, Yang
    Zhang, Chengxin
    Zhou, Xiaogen
    Pearce, Robin
    Bell, Eric W.
    Huang, Xiaoqiang
    Zhang, Yang
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2021, 89 (12) : 1734 - 1751