Literature DB >> 20096562

Energy landscapes: some new horizons.

David J Wales1.   

Abstract

Kinetic transition networks can now be calculated for small proteins using geometry optimisation to characterise minima, transition states and pathways, and unimolecular rate theory to supply rate constants corresponding to each transition state. The networks can be visualised by constructing disconnectivity graphs, revealing striking differences between good structure-seeking systems and a model glass former. The glassy landscape contains competing low-lying minima separated by high barriers, providing a more extreme example of the frustration previously characterised for model proteins. Free energy projections that preserve barriers and rates can be obtained from the network representation, and global kinetics can be addressed on the experimental time scale. Copyright 2009 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20096562     DOI: 10.1016/j.sbi.2009.12.011

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


  26 in total

1.  Markov state modeling and dynamical coarse-graining via discrete relaxation path sampling.

Authors:  B Fačkovec; E Vanden-Eijnden; D J Wales
Journal:  J Chem Phys       Date:  2015-07-28       Impact factor: 3.488

2.  Observation time scale, free-energy landscapes, and molecular symmetry.

Authors:  David J Wales; Peter Salamon
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-27       Impact factor: 11.205

3.  Graph representation of protein free energy landscape.

Authors:  Minghai Li; Mojie Duan; Jue Fan; Li Han; Shuanghong Huo
Journal:  J Chem Phys       Date:  2013-11-14       Impact factor: 3.488

4.  Observation of two families of folding pathways of BBL.

Authors:  Jue Fan; Mojie Duan; Da-Wei Li; Hao Wu; Haijun Yang; Li Han; Shuanghong Huo
Journal:  Biophys J       Date:  2011-05-18       Impact factor: 4.033

5.  Dual effect of crowders on fibrillation kinetics of polypeptide chains revealed by lattice models.

Authors:  Nguyen Truong Co; Chin-Kun Hu; Mai Suan Li
Journal:  J Chem Phys       Date:  2013-05-14       Impact factor: 3.488

6.  Markov State Models and tICA Reveal a Nonnative Folding Nucleus in Simulations of NuG2.

Authors:  Christian R Schwantes; Diwakar Shukla; Vijay S Pande
Journal:  Biophys J       Date:  2016-04-26       Impact factor: 4.033

7.  Archetypal landscapes for deep neural networks.

Authors:  Philipp C Verpoort; Alpha A Lee; David J Wales
Journal:  Proc Natl Acad Sci U S A       Date:  2020-08-25       Impact factor: 11.205

8.  Characterization of folding mechanisms of Trp-cage and WW-domain by network analysis of simulations with a hybrid-resolution model.

Authors:  Wei Han; Klaus Schulten
Journal:  J Phys Chem B       Date:  2013-08-19       Impact factor: 2.991

9.  Are coarse-grained models apt to detect protein thermal stability? The case of OPEP force field.

Authors:  Maria Kalimeri; Philippe Derreumaux; Fabio Sterpone
Journal:  J Non Cryst Solids       Date:  2014-07-22       Impact factor: 3.531

Review 10.  Membrane Protein Structure, Function, and Dynamics: a Perspective from Experiments and Theory.

Authors:  Zoe Cournia; Toby W Allen; Ioan Andricioaei; Bruno Antonny; Daniel Baum; Grace Brannigan; Nicolae-Viorel Buchete; Jason T Deckman; Lucie Delemotte; Coral Del Val; Ran Friedman; Paraskevi Gkeka; Hans-Christian Hege; Jérôme Hénin; Marina A Kasimova; Antonios Kolocouris; Michael L Klein; Syma Khalid; M Joanne Lemieux; Norbert Lindow; Mahua Roy; Jana Selent; Mounir Tarek; Florentina Tofoleanu; Stefano Vanni; Sinisa Urban; David J Wales; Jeremy C Smith; Ana-Nicoleta Bondar
Journal:  J Membr Biol       Date:  2015-06-11       Impact factor: 1.843

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