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Energy functions for protein design I: Efficient and accurate continuum electrostatics and solvation

机译:蛋白质设计的能量功能I:高效且准确的连续静电和溶剂化

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摘要

Electrostatics and solvation energies are important for defining protein stability, structural specificity, and molecular recognition. Because these energies are difficult to compute quickly and accurately, they are often ignored or modeled very crudely in computational protein design. To address this problem, we have developed a simple, fast, and accurate approximation for calculating Born radii in the context of protein design calculations. When these approximate Born radii are used with the generalized Born continuum dielectric model, energies calculated by the 106-fold slower finite difference Poisson-Boltzmann model are faithfully reproduced. A similar approach can be used for estimating solvent-accessible surface areas (SASAs). As an independent test, we show that these approximations can be used to accurately predict the experimentally determined pKas of >200 ionizable groups from 15 proteins.
机译:静电和溶剂化能量对于定义蛋白质稳定性,结构特异性和分子识别非常重要。由于这些能量难以快速而准确地进行计算,因此在计算蛋白质设计中通常会忽略或对其进行非常粗略的建模。为了解决这个问题,我们开发了一种简单,快速,准确的近似值,可以在蛋白质设计计算的背景下计算Born半径。当将这些近似的Born半径与广义Born连续介质模型一起使用时,可以忠实地复制由10 6 倍慢速有限差分Poisson-Boltzmann模型计算出的能量。可以使用类似的方法来估计溶剂可及的表面积(SASA)。作为一项独立的测试,我们证明了这些近似值可以用来从15种蛋白质中准确预测实验确定的> 200个可电离基团的pKas。

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