Features of CPB: a Poisson-Boltzmann solver that uses an adaptive Cartesian grid.
Features of CPB: a Poisson-Boltzmann solver that uses an adaptive Cartesian grid.
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CPB的特点:使用自适应笛卡尔网格的泊松-玻尔兹曼求解器。
DOI:
10.1002/jcc.23791
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发表时间:
2015
影响因子:
3
通讯作者:
Boschitsch,AlexanderH
中科院分区:
文献类型:
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作者:
Fenley,MarciaO;Harris,RobertC;Mackoy,Travis;Boschitsch,AlexanderH
The capabilities of an adaptive Cartesian grid (ACG)‐based Poisson–Boltzmann (PB) solver (CPB) are demonstrated. CPB solves various PB equations with an ACG, built from a hierarchical octree decomposition of the computational domain. This procedure decreases the number of points required, thereby reducing computational demands. Inside the molecule, CPB solves for the reaction‐field component (ϕrf) of the electrostatic potential (ϕ), eliminating the charge‐induced singularities inϕ. CPB can also use a least‐squares reconstruction method to improve estimates ofϕat the molecular surface. All surfaces, which include solvent excluded, Gaussians, and others, are created analytically, eliminating errors associated with triangulated surfaces. These features allow CPB to produce detailed surface maps ofϕand compute polar solvation and binding free energies for large biomolecular assemblies, such as ribosomes and viruses, with reduced computational demands compared to other Poisson–Boltzmann equation solvers. The reader is referred to http://www.continuum‐dynamics.com/solution‐mm.html for how to obtain the CPB software. © 2014 Wiley Periodicals, Inc.