Literature DB >> 21920324

Coarse-grained representation of protein flexibility. Foundations, successes, and shortcomings.

Modesto Orozco1, Laura Orellana, Adam Hospital, Athi N Naganathan, Agustí Emperador, Oliver Carrillo, J L Gelpí.   

Abstract

Flexibility is the key magnitude to understand the variety of functions of proteins. Unfortunately, its experimental study is quite difficult, and in fact, most experimental procedures are designed to reduce flexibility and allow a better definition of the structure. Theoretical approaches have become then the alternative but face serious timescale problems, since many biologically relevant deformation movements happen in a timescale that is far beyond the possibility of current atomistic models. In this complex scenario, coarse-grained simulation methods have emerged as a powerful and inexpensive alternative. Along this chapter, we will review these coarse-grained methods, and explain their physical foundations and their range of applicability.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21920324     DOI: 10.1016/B978-0-12-386485-7.00005-3

Source DB:  PubMed          Journal:  Adv Protein Chem Struct Biol        ISSN: 1876-1623            Impact factor:   3.507


  9 in total

1.  Oncogenic mutations at the EGFR ectodomain structurally converge to remove a steric hindrance on a kinase-coupled cryptic epitope.

Authors:  Laura Orellana; Amy H Thorne; Rafael Lema; Johan Gustavsson; Alison D Parisian; Adam Hospital; Tiago N Cordeiro; Pau Bernadó; Andrew M Scott; Isabelle Brun-Heath; Erik Lindahl; Webster K Cavenee; Frank B Furnari; Modesto Orozco
Journal:  Proc Natl Acad Sci U S A       Date:  2019-04-26       Impact factor: 11.205

2.  Investigation of Structural Dynamics of Enzymes and Protonation States of Substrates Using Computational Tools.

Authors:  Chia-En A Chang; Yu-Ming M Huang; Leonard J Mueller; Wanli You
Journal:  Catalysts       Date:  2016-05-31       Impact factor: 4.146

3.  eBDIMS server: protein transition pathways with ensemble analysis in 2D-motion spaces.

Authors:  Laura Orellana; Johan Gustavsson; Cathrine Bergh; Ozge Yoluk; Erik Lindahl
Journal:  Bioinformatics       Date:  2019-09-15       Impact factor: 6.937

Review 4.  In Silico Strategies in Tuberculosis Drug Discovery.

Authors:  Stephani Joy Y Macalino; Junie B Billones; Voltaire G Organo; Maria Constancia O Carrillo
Journal:  Molecules       Date:  2020-02-04       Impact factor: 4.411

5.  Thermodynamics and folding landscapes of large proteins from a statistical mechanical model.

Authors:  Soundhararajan Gopi; Akashnathan Aranganathan; Athi N Naganathan
Journal:  Curr Res Struct Biol       Date:  2019-10-23

6.  CABS-flex predictions of protein flexibility compared with NMR ensembles.

Authors:  Michal Jamroz; Andrzej Kolinski; Sebastian Kmiecik
Journal:  Bioinformatics       Date:  2014-04-15       Impact factor: 6.937

Review 7.  Molecular dynamics simulations: advances and applications.

Authors:  Adam Hospital; Josep Ramon Goñi; Modesto Orozco; Josep L Gelpí
Journal:  Adv Appl Bioinform Chem       Date:  2015-11-19

8.  Prediction and validation of protein intermediate states from structurally rich ensembles and coarse-grained simulations.

Authors:  Laura Orellana; Ozge Yoluk; Oliver Carrillo; Modesto Orozco; Erik Lindahl
Journal:  Nat Commun       Date:  2016-08-31       Impact factor: 14.919

Review 9.  Large-Scale Conformational Changes and Protein Function: Breaking the in silico Barrier.

Authors:  Laura Orellana
Journal:  Front Mol Biosci       Date:  2019-11-05
  9 in total

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