Literature DB >> 17570138

On searching in, sampling of, and dynamically moving through conformational space of biomolecular systems: A review.

Markus Christen1, Wilfred F van Gunsteren.   

Abstract

Methods to search for low-energy conformations, to generate a Boltzmann-weighted ensemble of configurations, or to generate classical-dynamical trajectories for molecular systems in the condensed liquid phase are briefly reviewed with an eye to application to biomolecular systems. After having chosen the degrees of freedom and method to generate molecular configurations, the efficiency of the search or sampling can be enhanced in various ways: (i) efficient calculation of the energy function and forces, (ii) application of a plethora of search enhancement techniques, (iii) use of a biasing potential energy term, and (iv) guiding the sampling using a reaction or transition pathway. The overview of the available methods should help the reader to choose the combination that is most suitable for the biomolecular system, degrees of freedom, interaction function, and molecular or thermodynamic properties of interest. (c) 2007 Wiley Periodicals, Inc. J Comput Chem, 2008.

Mesh:

Year:  2008        PMID: 17570138     DOI: 10.1002/jcc.20725

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  44 in total

Review 1.  Computational techniques for efficient conformational sampling of proteins.

Authors:  Adam Liwo; Cezary Czaplewski; Stanisław Ołdziej; Harold A Scheraga
Journal:  Curr Opin Struct Biol       Date:  2008-01-22       Impact factor: 6.809

Review 2.  Biomolecular simulation and modelling: status, progress and prospects.

Authors:  Marc W van der Kamp; Katherine E Shaw; Christopher J Woods; Adrian J Mulholland
Journal:  J R Soc Interface       Date:  2008-12-06       Impact factor: 4.118

3.  Calculating the binding free energies of charged species based on explicit-solvent simulations employing lattice-sum methods: an accurate correction scheme for electrostatic finite-size effects.

Authors:  Gabriel J Rocklin; David L Mobley; Ken A Dill; Philippe H Hünenberger
Journal:  J Chem Phys       Date:  2013-11-14       Impact factor: 3.488

Review 4.  X-ray scattering combined with coordinate-based analyses for applications in natural and artificial photosynthesis.

Authors:  David M Tiede; Kristy L Mardis; Xiaobing Zuo
Journal:  Photosynth Res       Date:  2009 Nov-Dec       Impact factor: 3.573

5.  Recovering kinetics from a simplified protein folding model using replica exchange simulations: a kinetic network and effective stochastic dynamics.

Authors:  Weihua Zheng; Michael Andrec; Emilio Gallicchio; Ronald M Levy
Journal:  J Phys Chem B       Date:  2009-08-27       Impact factor: 2.991

6.  Biomolecular structure refinement using the GROMOS simulation software.

Authors:  Nathan Schmid; Jane R Allison; Jožica Dolenc; Andreas P Eichenberger; Anna-Pitschna E Kunz; Wilfred F van Gunsteren
Journal:  J Biomol NMR       Date:  2011-08-20       Impact factor: 2.835

7.  Accelerating physical simulations of proteins by leveraging external knowledge.

Authors:  Alberto Perez; Joseph A Morrone; Ken A Dill
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2017-04-19

Review 8.  Computations of standard binding free energies with molecular dynamics simulations.

Authors:  Yuqing Deng; Benoît Roux
Journal:  J Phys Chem B       Date:  2009-02-26       Impact factor: 2.991

9.  A Variable Neighbourhood Descent Heuristic for Conformational Search Using a Quantum Annealer.

Authors:  D J J Marchand; M Noori; A Roberts; G Rosenberg; B Woods; U Yildiz; M Coons; D Devore; P Margl
Journal:  Sci Rep       Date:  2019-09-23       Impact factor: 4.379

10.  E9-Im9 colicin DNase-immunity protein biomolecular association in water: a multiple-copy and accelerated molecular dynamics simulation study.

Authors:  Riccardo Baron; Sergio E Wong; Cesar A F de Oliveira; J Andrew McCammon
Journal:  J Phys Chem B       Date:  2008-12-25       Impact factor: 2.991

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