Literature DB >> 20635348

Application of biasing-potential replica-exchange simulations for loop modeling and refinement of proteins in explicit solvent.

Srinivasaraghavan Kannan1, Martin Zacharias.   

Abstract

Comparative or homology modeling of a target protein based on sequence similarity to a protein with known structure is widely used to provide structural models of proteins. Depending on the target-template similarity these model structures may contain regions of limited structural accuracy. In principle, molecular dynamics (MD) simulations can be used to refine protein model structures and also to model loop regions that connect structurally conserved regions but it is limited by the currently accessible simulation time scales. A recently developed biasing potential replica exchange (BP-REMD) method was used to refine loops and complete decoy protein structures at atomic resolution including explicit solvent. In standard REMD simulations several replicas of a system are run in parallel at different temperatures allowing exchanges at preset time intervals. In a BP-REMD simulation replicas are controlled by various levels of a biasing potential to reduce the energy barriers associated with peptide backbone dihedral transitions. The method requires much fewer replicas for efficient sampling compared with T-REMD. Application of the approach to several protein loops indicated improved conformational sampling of backbone dihedral angle of loop residues compared to conventional MD simulations. BP-REMD refinement simulations on several test cases starting from decoy structures deviating significantly from the native structure resulted in final structures in much closer agreement with experiment compared to conventional MD simulations. 2010 Wiley-Liss, Inc.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20635348     DOI: 10.1002/prot.22796

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  8 in total

Review 1.  From laptop to benchtop to bedside: structure-based drug design on protein targets.

Authors:  Lu Chen; John K Morrow; Hoang T Tran; Sharangdhar S Phatak; Lei Du-Cuny; Shuxing Zhang
Journal:  Curr Pharm Des       Date:  2012       Impact factor: 3.116

2.  Reliable oligonucleotide conformational ensemble generation in explicit solvent for force field assessment using reservoir replica exchange molecular dynamics simulations.

Authors:  Niel M Henriksen; Daniel R Roe; Thomas E Cheatham
Journal:  J Phys Chem B       Date:  2013-04-04       Impact factor: 2.991

3.  Conformational sampling of oligosaccharides using Hamiltonian replica exchange with two-dimensional dihedral biasing potentials and the weighted histogram analysis method (WHAM).

Authors:  Mingjun Yang; Alexander D MacKerell
Journal:  J Chem Theory Comput       Date:  2015-02-10       Impact factor: 6.006

4.  A lightweight, flow-based toolkit for parallel and distributed bioinformatics pipelines.

Authors:  Marcin Cieślik; Cameron Mura
Journal:  BMC Bioinformatics       Date:  2011-02-25       Impact factor: 3.307

5.  Unconstrained Enhanced Sampling for Free Energy Calculations of Biomolecules: A Review.

Authors:  Yinglong Miao; J Andrew McCammon
Journal:  Mol Simul       Date:  2016-07-05       Impact factor: 2.178

Review 6.  Methods for the Refinement of Protein Structure 3D Models.

Authors:  Recep Adiyaman; Liam James McGuffin
Journal:  Int J Mol Sci       Date:  2019-05-09       Impact factor: 5.923

7.  Use of multiple picosecond high-mass molecular dynamics simulations to predict crystallographic B-factors of folded globular proteins.

Authors:  Yuan-Ping Pang
Journal:  Heliyon       Date:  2016-09-20

8.  FF12MC: A revised AMBER forcefield and new protein simulation protocol.

Authors:  Yuan-Ping Pang
Journal:  Proteins       Date:  2016-07-21
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.