PyGBe-LSPR: Python and GPU Boundary-integral solver for electrostatics

PyGBe-LSPR: Python and GPU Boundary-integral solver for electrostatics
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PyGBe-LSPR:静电学的 Python 和 GPU 边界积分求解器

DOI:
10.21105/joss.00306
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发表时间:
2017
期刊:
J. Open Source Softw.
影响因子:
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通讯作者:
L. Barba
L. Barba
中科院分区:
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文献类型:
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作者:
N. Clementi;G. Forsyth;C. D. Cooper;L. Barba

文献摘要

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PyGBe是一个Python库,用于生物分子静电学和纳米粒子等离子体。上一个代码版本,在Christopher D.库珀等人(2016)使用边界积分法求解浸入离子溶剂中的生物分子的泊松-玻尔兹曼方程。它计算溶剂化能,这是将生物分子从真空移动到溶解状态所花费的自由能。该量用于评估结合亲和力、蛋白质-表面相互作用(Christopher D库珀、Clementi和Barba(2015))以及该规模的其他机制。
PyGBe—pronounced pigbē—is a Python library for applications in biomolecular electrostatics and nanoparticle plasmonics. The previous code release, reported in Christopher D. Cooper et al. (2016), solves the Poisson-Boltzmann equation for biomolecules immersed in an ionic solvent, using the boundary integral method. It computes the solvation energy, which is the free energy spent in moving a biomolecule from vacuum to its dissolved state. This quantity is used for assessing binding affinity, protein-surface interactions (Christopher D Cooper, Clementi, and Barba (2015)), and other mechanisms at this scale.