| Literature DB >> 28292714 |
Weihong Zhang1, Steven C Howell2, David W Wright3, Andrew Heindel4, Xiangyun Qiu5, Jianhan Chen6, Joseph E Curtis7.
Abstract
We describe a general method to use Monte Carlo simulation followed by torsion-angle molecular dynamics simulations to create ensembles of structures to model a wide variety of soft-matter biological systems. Our particular emphasis is focused on modeling low-resolution small-angle scattering and reflectivity structural data. We provide examples of this method applied to HIV-1 Gag protein and derived fragment proteins, TraI protein, linear B-DNA, a nucleosome core particle, and a glycosylated monoclonal antibody. This procedure will enable a large community of researchers to model low-resolution experimental data with greater accuracy by using robust physics based simulation and sampling methods which are a significant improvement over traditional methods used to interpret such data. Published by Elsevier Inc.Entities:
Keywords: Monte Carlo; SANS; SAXS; Small-angle scattering; Structural biology; Torsion angle molecular dynamics
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Year: 2017 PMID: 28292714 DOI: 10.1016/j.jmgm.2017.02.010
Source DB: PubMed Journal: J Mol Graph Model ISSN: 1093-3263 Impact factor: 2.518