Tunable, mixed-resolution modeling using library-based Monte Carlo and graphics processing units.
Tunable, mixed-resolution modeling using library-based Monte Carlo and graphics processing units.
复制标题
使用基于库的蒙特卡罗和图形处理单元进行可调的混合分辨率建模。
DOI:
10.1021/ct300263z
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发表时间:
2012
影响因子:
5.5
通讯作者:
Zuckerman,DanielM
中科院分区:
文献类型:
--
作者:
Mamonov,ArtemB;Lettieri,Steven;Ding,Ying;Sarver,JessicaL;Palli,Rohith;Cunningham,TimothyF;Saxena,Sunil;Zuckerman,DanielM
Building on our recently introduced library-based Monte Carlo (LBMC) approach, we describe a flexible protocol for mixed coarse-grained (CG)/all-atom (AA) simulation of proteins and ligands. In the present implementation of LBMC, protein side chain configurations are precalculated and stored in libraries, while bonded interactions along the backbone are treated explicitly. Because the AA side chain coordinates are maintained at minimal run-time cost, arbitrary sites and interaction terms can be turned on to create mixed-resolution models. For example, an AA region of interest such as a binding site can be coupled to a CG model for the rest of the protein. We have additionally developed a hybrid implementation of the generalized Born/surface area (GBSA) implicit solvent model suitable for mixed-resolution models, which in turn was ported to a graphics processing unit (GPU) for faster calculation. The new software was applied to study two systems: (i) the behavior of spin labels on the B1 domain of protein G (GB1) and (ii) docking of randomly initialized estradiol configurations to the ligand binding domain of the estrogen receptor (ERα). The performance of the GPU version of the code was also benchmarked in a number of additional systems.