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A Revised Density Function for Molecular Surface Calculation in Continuum Solvent Models

机译:连续溶剂模型中分子表面计算的修正密度函数

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A revised density function is developed to define the molecular surface for the numerical Poisson-Boltzmann methods to achieve a better convergence and a higher numerical stability. The new density function does not use any predefined functional form but is numerically optimized to reproduce the reaction field energies computed with the solvent excluded surface definition. An exhaustive search in the parameter space is utilized in the optimization, using a wide-range of training molecules including proteins, nucleic acids, and peptides in both folded and unfolded conformations. A cubic-spline function is introduced to guarantee good numerical behavior of the new density function. Our test results show that the average relative energy errors computed with the revised density function are uniformly lower than 1% for both training and test molecules with different sizes and conformations. Our transferability analysis shows that the performance of the new method is mostly size and conformation independent. A detailed analysis further shows that the numerical forces computed with the revised density function converge better with respect to the grid spacing and are numerically more ,stable in tested peptides.
机译:开发了修改后的密度函数以定义数值Poisson-Boltzmann方法的分子表面,以实现更好的收敛性和更高的数值稳定性。新的密度函数不使用任何预定义的函数形式,但在数值上进行了优化,以重现使用溶剂排除的表面定义计算出的反应场能量。优化中使用了对参数空间的详尽搜索,使用了广泛的训练分子,包括折叠和未折叠构象的蛋白质,核酸和肽。引入三次样条函数以确保新密度函数的良好数值行为。我们的测试结果表明,对于不同大小和构象的训练分子和测试分子,用修正的密度函数计算出的平均相对能量误差均均低于1%。我们的可转移性分析表明,新方法的性能主要与大小和构象无关。详细的分析进一步表明,用修正的密度函数计算的数值力相对于网格间距收敛得更好,并且在测试的肽中数值上更稳定。

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