Literature DB >> 28063280

Principles of protein structural ensemble determination.

Massimiliano Bonomi1, Gabriella T Heller2, Carlo Camilloni3, Michele Vendruscolo4.   

Abstract

The biological functions of protein molecules are intimately dependent on their conformational dynamics. This aspect is particularly evident for disordered proteins, which constitute perhaps one-third of the human proteome. Therefore, structural ensembles often offer more useful representations of proteins than individual conformations. Here, we describe how the well-established principles of protein structure determination should be extended to the case of protein structural ensembles determination. These principles concern primarily how to deal with conformationally heterogeneous states, and with experimental measurements that are averaged over such states and affected by a variety of errors. We first review the growing literature of recent methods that combine experimental and computational information to model structural ensembles, highlighting their similarities and differences. We then address some conceptual problems in the determination of structural ensembles and define future goals towards the establishment of objective criteria for the comparison, validation, visualization and dissemination of such ensembles.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 28063280     DOI: 10.1016/j.sbi.2016.12.004

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  74 in total

1.  Bayesian Weighing of Electron Cryo-Microscopy Data for Integrative Structural Modeling.

Authors:  Massimiliano Bonomi; Samuel Hanot; Charles H Greenberg; Andrej Sali; Michael Nilges; Michele Vendruscolo; Riccardo Pellarin
Journal:  Structure       Date:  2018-11-01       Impact factor: 5.006

2.  Structural Characterization of N-WASP Domain V Using MD Simulations with NMR and SAXS Data.

Authors:  Maud Chan-Yao-Chong; Célia Deville; Louise Pinet; Carine van Heijenoort; Dominique Durand; Tâp Ha-Duong
Journal:  Biophys J       Date:  2019-02-26       Impact factor: 4.033

3.  Simulating and analysing configurational landscapes of protein-protein contact formation.

Authors:  Andrej Berg; Christine Peter
Journal:  Interface Focus       Date:  2019-04-19       Impact factor: 3.906

4.  A method of incorporating rate constants as kinetic constraints in molecular dynamics simulations.

Authors:  Z Faidon Brotzakis; Michele Vendruscolo; Peter G Bolhuis
Journal:  Proc Natl Acad Sci U S A       Date:  2021-01-12       Impact factor: 11.205

5.  Bayesian inference of chromatin structure ensembles from population-averaged contact data.

Authors:  Simeon Carstens; Michael Nilges; Michael Habeck
Journal:  Proc Natl Acad Sci U S A       Date:  2020-03-19       Impact factor: 11.205

6.  Hybrid Refinement of Heterogeneous Conformational Ensembles Using Spectroscopic Data.

Authors:  Jennifer M Hays; David S Cafiso; Peter M Kasson
Journal:  J Phys Chem Lett       Date:  2019-06-07       Impact factor: 6.475

7.  Rapid and reliable protein structure determination via chemical shift threading.

Authors:  Noor E Hafsa; Mark V Berjanskii; David Arndt; David S Wishart
Journal:  J Biomol NMR       Date:  2017-12-01       Impact factor: 2.835

Review 8.  RNA Structural Dynamics As Captured by Molecular Simulations: A Comprehensive Overview.

Authors:  Jiří Šponer; Giovanni Bussi; Miroslav Krepl; Pavel Banáš; Sandro Bottaro; Richard A Cunha; Alejandro Gil-Ley; Giovanni Pinamonti; Simón Poblete; Petr Jurečka; Nils G Walter; Michal Otyepka
Journal:  Chem Rev       Date:  2018-01-03       Impact factor: 60.622

9.  Assessing Structural Preferences of Unstructured Protein Regions by NMR.

Authors:  Azzurra Carlon; Lucia Gigli; Enrico Ravera; Giacomo Parigi; Angela M Gronenborn; Claudio Luchinat
Journal:  Biophys J       Date:  2019-10-14       Impact factor: 4.033

10.  Deciphering collaborative sidechain motions in proteins during molecular dynamics simulations.

Authors:  Bruck Taddese; Antoine Garnier; Hervé Abdi; Daniel Henrion; Marie Chabbert
Journal:  Sci Rep       Date:  2020-09-28       Impact factor: 4.379

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