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首页> 外文期刊>Protein Science: A Publication of the Protein Society >One- and two-body decomposable Poisson-Boltzmann methods for protein design calculations.
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One- and two-body decomposable Poisson-Boltzmann methods for protein design calculations.

机译:一体和两体可分解的Poisson-Boltzmann方法用于蛋白质设计计算。

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摘要

Successfully modeling electrostatic interactions is one of the key factors required for the computational design of proteins with desired physical, chemical, and biological properties. In this paper, we present formulations of the finite difference Poisson-Boltzmann (FDPB) model that are pairwise decomposable by side chain. These methods use reduced representations of the protein structure based on the backbone and one or two side chains in order to approximate the dielectric environment in and around the protein. For the desolvation of polar side chains, the two-body model has a 0.64 kcal/mol RMSD compared to FDPB calculations performed using the full representation of the protein structure. Screened Coulombic interaction energies between side chains are approximated with an RMSD of 0.13 kcal/mol. The methods presented here are compatible with the computational demands of protein design calculations and produce energies that are very similar to the results of traditional FDPB calculations.
机译:成功地模拟静电相互作用是具有所需物理,化学和生物学特性的蛋白质计算设计所需的关键因素之一。在本文中,我们提出了可通过侧链成对分解的有限差分泊松-玻耳兹曼(FDPB)模型的公式。这些方法使用基于骨架和一条或两条侧链的蛋白质结构的简化表示法,以近似蛋白质内部和周围的介电环境。为了消除极性侧链,与使用蛋白质结构的完整表示而进行的FDPB计算相比,两体模型具有0.64 kcal / mol的RMSD。侧链之间筛选的库仑相互作用能的RMSD约为0.13 kcal / mol。此处介绍的方法与蛋白质设计计算的计算要求兼容,并且产生的能量与传统FDPB计算的结果非常相似。

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