Accelerating the 3D reference interaction site model theory of molecular solvation with treecode summation and cut‐offs
Accelerating the 3D reference interaction site model theory of molecular solvation with treecode summation and cut‐offs
复制标题
使用树代码求和和截断加速分子溶剂化的 3D 参考相互作用位点模型理论
DOI:
10.1002/jcc.26889
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发表时间:
2022
影响因子:
3
通讯作者:
Luchko, Tyler
中科院分区:
文献类型:
--
作者:
Wilson, Leighton;Krasny, Robert;Luchko, Tyler
The 3D reference interaction site model (3D‐RISM) of molecular solvation is a powerful tool for computing the equilibrium thermodynamics and density distributions of solvents, such as water and co‐ions, around solute molecules. However, 3D‐RISM solutions can be expensive to calculate, especially for proteins and other large molecules where calculating the potential energy between solute and solvent requires more than half the computation time. To address this problem, we have developed and implemented treecode summation for long‐range interactions and analytically corrected cut‐offs for short‐range interactions to accelerate the potential energy and long‐range asymptotics calculations in non‐periodic 3D‐RISM in the AmberTools molecular modeling suite. For the largest single protein considered in this work, tubulin, the total computation time was reduced by a factor of 4. In addition, parallel calculations with these new methods scale almost linearly and the iterative solver remains the largest impediment to parallel scaling. To demonstrate the utility of our approach for large systems, we used 3D‐RISM to calculate the solvation thermodynamics and density distribution of 7‐ring microtubule, consisting of 910 tubulin dimers, over 1.2 million atoms.
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影响因子:
5.6
作者:
Grafmueller, Andrea;Noya, Eva G.;Voth, Gregory A.
通讯作者:
Voth, Gregory A.
DOI:
--
发表时间:
2006
期刊:
J. Comput. Chem. 27
影响因子:
--
作者:
N.Yoshida;F.Hirata
通讯作者:
F.Hirata
DOI:
10.1039/c0cp00111b
发表时间:
2010-07-28
期刊:
Physical chemistry chemical physics : PCCP
影响因子:
--
作者:
Dupradeau FY;Pigache A;Zaffran T;Savineau C;Lelong R;Grivel N;Lelong D;Rosanski W;Cieplak P
通讯作者:
Cieplak P
影响因子:
11.8
作者:
Chaaban, Sami;Jariwala, Shashank;Brouhard, Gary J.
通讯作者:
Brouhard, Gary J.
影响因子:
3.4
作者:
D. Wells;A. Aksimentiev
通讯作者:
D. Wells;A. Aksimentiev