Literature DB >> 26766517

Molecular dynamics simulations of biological membranes and membrane proteins using enhanced conformational sampling algorithms.

Takaharu Mori1, Naoyuki Miyashita2, Wonpil Im3, Michael Feig4, Yuji Sugita5.   

Abstract

This paper reviews various enhanced conformational sampling methods and explicit/implicit solvent/membrane models, as well as their recent applications to the exploration of the structure and dynamics of membranes and membrane proteins. Molecular dynamics simulations have become an essential tool to investigate biological problems, and their success relies on proper molecular models together with efficient conformational sampling methods. The implicit representation of solvent/membrane environments is reasonable approximation to the explicit all-atom models, considering the balance between computational cost and simulation accuracy. Implicit models can be easily combined with replica-exchange molecular dynamics methods to explore a wider conformational space of a protein. Other molecular models and enhanced conformational sampling methods are also briefly discussed. As application examples, we introduce recent simulation studies of glycophorin A, phospholamban, amyloid precursor protein, and mixed lipid bilayers and discuss the accuracy and efficiency of each simulation model and method. This article is part of a Special Issue entitled: Membrane Proteins edited by J.C. Gumbart and Sergei Noskov.
Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Generalized Born (GB) model; Generalized-ensemble algorithm; Replica exchange with solute tempering (REST); Replica-exchange molecular dynamics (REMD); Replica-exchange umbrella sampling (REUS); Surface-tension REMD

Mesh:

Substances:

Year:  2016        PMID: 26766517      PMCID: PMC4877274          DOI: 10.1016/j.bbamem.2015.12.032

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  200 in total

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Authors:  Siewert J Marrink; D Peter Tieleman
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3.  Nature and site of phospholamban regulation of the Ca2+ pump of sarcoplasmic reticulum.

Authors:  P James; M Inui; M Tada; M Chiesi; E Carafoli
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4.  Statistical analysis of amino acid patterns in transmembrane helices: the GxxxG motif occurs frequently and in association with beta-branched residues at neighboring positions.

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5.  Membrane protein native state discrimination by implicit membrane models.

Authors:  Olga Yuzlenko; Themis Lazaridis
Journal:  J Comput Chem       Date:  2012-12-07       Impact factor: 3.376

6.  Parameterization of PACE Force Field for Membrane Environment and Simulation of Helical Peptides and Helix-Helix Association.

Authors:  Cheuk-Kin Wan; Wei Han; Yun-Dong Wu
Journal:  J Chem Theory Comput       Date:  2011-12-01       Impact factor: 6.006

7.  GPU/CPU Algorithm for Generalized Born/Solvent-Accessible Surface Area Implicit Solvent Calculations.

Authors:  David E Tanner; James C Phillips; Klaus Schulten
Journal:  J Chem Theory Comput       Date:  2012-06-15       Impact factor: 6.006

8.  Generalized born model with a simple smoothing function.

Authors:  Wonpil Im; Michael S Lee; Charles L Brooks
Journal:  J Comput Chem       Date:  2003-11-15       Impact factor: 3.376

Review 9.  Molecular dynamics simulations of membrane channels and transporters.

Authors:  Fatemeh Khalili-Araghi; James Gumbart; Po-Chao Wen; Marcos Sotomayor; Emad Tajkhorshid; Klaus Schulten
Journal:  Curr Opin Struct Biol       Date:  2009-04-01       Impact factor: 6.809

10.  How Tolerant are Membrane Simulations with Mismatch in Area per Lipid between Leaflets?

Authors:  Soohyung Park; Andrew H Beaven; Jeffery B Klauda; Wonpil Im
Journal:  J Chem Theory Comput       Date:  2015-07-14       Impact factor: 6.006

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  33 in total

1.  CHARMM-GUI Martini Maker for modeling and simulation of complex bacterial membranes with lipopolysaccharides.

Authors:  Pin-Chia Hsu; Bart M H Bruininks; Damien Jefferies; Paulo Cesar Telles de Souza; Jumin Lee; Dhilon S Patel; Siewert J Marrink; Yifei Qi; Syma Khalid; Wonpil Im
Journal:  J Comput Chem       Date:  2017-08-03       Impact factor: 3.376

2.  Mechanical properties of drug loaded diblock copolymer bilayers: A molecular dynamics study.

Authors:  Damián A Grillo; Juan M R Albano; Esteban E Mocskos; Julio C Facelli; Mónica Pickholz; Marta B Ferraro
Journal:  J Chem Phys       Date:  2018-06-07       Impact factor: 3.488

3.  Toward high-resolution computational design of the structure and function of helical membrane proteins.

Authors:  Patrick Barth; Alessandro Senes
Journal:  Nat Struct Mol Biol       Date:  2016-06-07       Impact factor: 15.369

4.  Multiscale Simulations of Biological Membranes: The Challenge To Understand Biological Phenomena in a Living Substance.

Authors:  Giray Enkavi; Matti Javanainen; Waldemar Kulig; Tomasz Róg; Ilpo Vattulainen
Journal:  Chem Rev       Date:  2019-03-12       Impact factor: 60.622

Review 5.  Molecular Dynamics Simulations of Membrane Permeability.

Authors:  Richard M Venable; Andreas Krämer; Richard W Pastor
Journal:  Chem Rev       Date:  2019-02-12       Impact factor: 60.622

Review 6.  Whole-Cell Models and Simulations in Molecular Detail.

Authors:  Michael Feig; Yuji Sugita
Journal:  Annu Rev Cell Dev Biol       Date:  2019-07-12       Impact factor: 13.827

Review 7.  Quantum Mechanical and Molecular Mechanics Modeling of Membrane-Embedded Rhodopsins.

Authors:  Mikhail N Ryazantsev; Dmitrii M Nikolaev; Andrey V Struts; Michael F Brown
Journal:  J Membr Biol       Date:  2019-09-30       Impact factor: 1.843

8.  Structure of APP-C991-99 and implications for role of extra-membrane domains in function and oligomerization.

Authors:  George A Pantelopulos; John E Straub; D Thirumalai; Yuji Sugita
Journal:  Biochim Biophys Acta Biomembr       Date:  2018-04-24       Impact factor: 3.747

9.  Emerging Diversity in Lipid-Protein Interactions.

Authors:  Valentina Corradi; Besian I Sejdiu; Haydee Mesa-Galloso; Haleh Abdizadeh; Sergei Yu Noskov; Siewert J Marrink; D Peter Tieleman
Journal:  Chem Rev       Date:  2019-02-13       Impact factor: 60.622

10.  Prediction of Membrane Permeation of Drug Molecules by Combining an Implicit Membrane Model with Machine Learning.

Authors:  Stephanie A Brocke; Alexandra Degen; Alexander D MacKerell; Bercem Dutagaci; Michael Feig
Journal:  J Chem Inf Model       Date:  2018-12-27       Impact factor: 4.956

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