Literature DB >> 31753619

Quantitative Structural Interpretation of Protein Crosslinks.

Isaac Filella-Merce1, Benjamin Bardiaux2, Michael Nilges2, Guillaume Bouvier3.   

Abstract

Chemical crosslinking, combined with mass spectrometry analysis, is a key source of information for characterizing the structure of large protein assemblies, in the context of molecular modeling. In most approaches, the interpretation is limited to simple spatial restraints, neglecting physico-chemical interactions between the crosslinker and the protein and their flexibility. Here we present a method, named NRGXL (new realistic grid for crosslinks), which models the flexibility of the crosslinker and the linked side-chains, by explicitly sampling many conformations. Also, the method can efficiently deal with overall protein dynamics. This method creates a physical model of the crosslinker and associated energy. A classifier based on it outperforms others, based on Euclidean distance or solvent-accessible distance and its efficiency makes it usable for validating 3D models from crosslinking data. NRGXL is freely available as a web server at: https://nrgxl.pasteur.fr.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Keywords:  NRGXL; binary classification study; crosslinks; modeling; protein complexes; restraints; sampling

Year:  2019        PMID: 31753619     DOI: 10.1016/j.str.2019.10.018

Source DB:  PubMed          Journal:  Structure        ISSN: 0969-2126            Impact factor:   5.006


  2 in total

1.  Evaluation of acquisition modes for semi-quantitative analysis by targeted and untargeted mass spectrometry.

Authors:  Hannah M Britt; Tristan Cragnolini; Suniya Khatun; Abubakar Hatimy; Juliette James; Nathanael Page; Jonathan P Williams; Christopher Hughes; Richard Denny; Konstantinos Thalassinos; Johannes P C Vissers
Journal:  Rapid Commun Mass Spectrom       Date:  2022-07-15       Impact factor: 2.586

Review 2.  Structural Proteomics Methods to Interrogate the Conformations and Dynamics of Intrinsically Disordered Proteins.

Authors:  Rebecca Beveridge; Antonio N Calabrese
Journal:  Front Chem       Date:  2021-03-11       Impact factor: 5.221

  2 in total

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