HyRes: a coarse-grained model for multi-scale enhanced sampling of disordered protein conformations

被引:17
|
作者
Liu, Xiaorong [1 ]
Chen, Jianhan [1 ,2 ]
机构
[1] Univ Massachusetts, Dept Chem, Amherst, MA 01003 USA
[2] Univ Massachusetts, Dept Biochem & Mol Biol, Amherst, MA 01003 USA
基金
美国国家卫生研究院;
关键词
DISCONTINUOUS MOLECULAR-DYNAMICS; SPONTANEOUS FIBRIL FORMATION; RESIDUE FORCE-FIELD; INTRINSIC DISORDER; TRANSACTIVATION DOMAIN; UNSTRUCTURED PROTEINS; STRUCTURE SIMULATIONS; ENSEMBLES; ATOM; OPTIMIZATION;
D O I
10.1039/c7cp06736d
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Efficient coarse-grained (CG) models can be coupled with atomistic force fields to accelerate the sampling of atomistic energy landscapes in the multi-scale enhanced sampling (MSES) framework. This approach may be particularly suitable for generating atomistic conformational ensembles of intrinsically disordered proteins (IDPs). While MSES is relatively robust to inherent CG artifacts, achieving optimal sampling efficiency requires CG modeling to generate the local and long-range fluctuations that are largely consistent with those at the atomistic level. Here, we describe a new hybrid resolution CG model (HyRes) for MSES simulations of disordered protein states, which is specifically designed to provide semi-quantitative secondary structure propensities together with a qualitative description of long-range nonspecific interactions. The HyRes model contains an atomistic description of the backbone with intermediate resolution side chains. The secondary structure propensities are tuned by adjusting the backbone hydrogen-bonding strength and the phi/psi torsion profile. The sizes and covalent geometries of the side chains are parameterized to reproduce distributions derived from atomistic simulations. Lennard-Jones parameters for sidechain beads are assigned to reproduce statistical potentials derived from the protein structural database, and then globally parameterized with nonspecific electrostatic interactions to reproduce the free energy profiles of pair wise interactions and the key conformational properties of model peptides. Application of HyRes to MSES simulations of small IDPs suggests that it is capable of driving faster structural transitions at the atomistic level and increasing the convergence rate compared to the C alpha-only G (o) over bar -like models previously utilized. With further optimization, we believe that the new CG model could greatly improve the efficiency of MSES simulations of the larger and more complex IDPs frequently involved in cellular signalling and regulation.
引用
收藏
页码:32421 / 32432
页数:12
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