Literature DB >> 26613306

Protein Backbone Dynamics Simulations Using Coarse-Grained Bonded Potentials and Simplified Hydrogen Bonds.

Tap Ha-Duong1.   

Abstract

A new set of bonded potentials is introduced to model the flexibility of coarse-grained polypeptide chains. Based on a statistical analysis of known structures, the bonded potentials are sequence-dependent, and the secondary-structure propensity of each amino acid is partially reflected in the Si-Bi-Bi+1-Bi+2 pseudotorsion angle, where Si and Bi denote the side-chain and backbone beads, respectively. To stabilize the secondary structures during simulations, the bonded force field must be balanced by a simplified model of the protein hydrogen bonds, based on dipole-dipole interactions. Tested on eight polypeptides with sequence lengths ranging from 17 to 98, using 200-ns molecular dynamics simulations, the coarse-grained model yields trajectories with RMSDs ranging from 3 to 8 Å from the experimental conformations. The less-structured regions of the simulated proteins exhibit the largest-amplitude movements.

Entities:  

Year:  2010        PMID: 26613306     DOI: 10.1021/ct900408s

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  3 in total

1.  Charge density distributions derived from smoothed electrostatic potential functions: design of protein reduced point charge models.

Authors:  Laurence Leherte; Daniel P Vercauteren
Journal:  J Comput Aided Mol Des       Date:  2011-09-14       Impact factor: 3.686

2.  Parametrization of Backbone Flexibility in a Coarse-Grained Force Field for Proteins (COFFDROP) Derived from All-Atom Explicit-Solvent Molecular Dynamics Simulations of All Possible Two-Residue Peptides.

Authors:  Tamara Frembgen-Kesner; Casey T Andrews; Shuxiang Li; Nguyet Anh Ngo; Scott A Shubert; Aakash Jain; Oluwatoni J Olayiwola; Mitch R Weishaar; Adrian H Elcock
Journal:  J Chem Theory Comput       Date:  2015-04-30       Impact factor: 6.006

3.  A generic force field for protein coarse-grained molecular dynamics simulation.

Authors:  Junfeng Gu; Fang Bai; Honglin Li; Xicheng Wang
Journal:  Int J Mol Sci       Date:  2012-11-08       Impact factor: 5.923

  3 in total

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