Literature DB >> 26968364

Analysis of the interface variability in NMR structure ensembles of protein-protein complexes.

Luisa Calvanese1, Gabriella D'Auria2, Anna Vangone3, Lucia Falcigno4, Romina Oliva5.   

Abstract

NMR structures consist in ensembles of conformers, all satisfying the experimental restraints, which exhibit a certain degree of structural variability. We analyzed here the interface in NMR ensembles of protein-protein heterodimeric complexes and found it to span a wide range of different conservations. The different exhibited conservations do not simply correlate with the size of the systems/interfaces, and are most probably the result of an interplay between different factors, including the quality of experimental data and the intrinsic complex flexibility. In any case, this information is not to be missed when NMR structures of protein-protein complexes are analyzed; especially considering that, as we also show here, the first NMR conformer is usually not the one which best reflects the overall interface. To quantify the interface conservation and to analyze it, we used an approach originally conceived for the analysis and ranking of ensembles of docking models, which has now been extended to directly deal with NMR ensembles. We propose this approach, based on the conservation of the inter-residue contacts at the interface, both for the analysis of the interface in whole ensembles of NMR complexes and for the possible selection of a single conformer as the best representative of the overall interface. In order to make the analyses automatic and fast, we made the protocol available as a web tool at: https://www.molnac.unisa.it/BioTools/consrank/consrank-nmr.html.
Copyright © 2016 Elsevier Inc. All rights reserved.

Keywords:  COCOMAPS; CONSRANK; Inter-residue contacts; Interface; NMR; Protein complex

Mesh:

Year:  2016        PMID: 26968364     DOI: 10.1016/j.jsb.2016.03.008

Source DB:  PubMed          Journal:  J Struct Biol        ISSN: 1047-8477            Impact factor:   2.867


  3 in total

1.  Introducing a Clustering Step in a Consensus Approach for the Scoring of Protein-Protein Docking Models.

Authors:  Edrisse Chermak; Renato De Donato; Marc F Lensink; Andrea Petta; Luigi Serra; Vittorio Scarano; Luigi Cavallo; Romina Oliva
Journal:  PLoS One       Date:  2016-11-15       Impact factor: 3.240

2.  Distinguishing crystallographic from biological interfaces in protein complexes: role of intermolecular contacts and energetics for classification.

Authors:  Katarina Elez; Alexandre M J J Bonvin; Anna Vangone
Journal:  BMC Bioinformatics       Date:  2018-11-30       Impact factor: 3.169

3.  Accurate Representation of Protein-Ligand Structural Diversity in the Protein Data Bank (PDB).

Authors:  Nicolas K Shinada; Peter Schmidtke; Alexandre G de Brevern
Journal:  Int J Mol Sci       Date:  2020-03-24       Impact factor: 5.923

  3 in total

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