Bardhan Jaydeep P, Knepley Matthew G, Anitescu Mihai
Biosciences Division, Argonne National Laboratory, Argonne, Illinois 60439, USA.
J Chem Phys. 2009 Mar 14;130(10):104108. doi: 10.1063/1.3081148.
The importance of electrostatic interactions in molecular biology has driven extensive research toward the development of accurate and efficient theoretical and computational models. Linear continuum electrostatic theory has been surprisingly successful, but the computational costs associated with solving the associated partial differential equations (PDEs) preclude the theory's use in most dynamical simulations. Modern generalized-Born models for electrostatics can reproduce PDE-based calculations to within a few percent and are extremely computationally efficient but do not always faithfully reproduce interactions between chemical groups. Recent work has shown that a boundary-integral-equation formulation of the PDE problem leads naturally to a new approach called boundary-integral-based electrostatics estimation (BIBEE) to approximate electrostatic interactions. In the present paper, we prove that the BIBEE method can be used to rigorously bound the actual continuum-theory electrostatic free energy. The bounds are validated using a set of more than 600 proteins. Detailed numerical results are presented for structures of the peptide met-enkephalin taken from a molecular-dynamics simulation. These bounds, in combination with our demonstration that the BIBEE methods accurately reproduce pairwise interactions, suggest a new approach toward building a highly accurate yet computationally tractable electrostatic model.
静电相互作用在分子生物学中的重要性推动了人们对开发精确高效的理论和计算模型进行广泛研究。线性连续介质静电理论取得了惊人的成功,但求解相关偏微分方程(PDEs)所涉及的计算成本使得该理论在大多数动力学模拟中无法使用。现代静电广义玻恩模型能够将基于PDE的计算结果精确到百分之几以内,并且计算效率极高,但并不总能如实地再现化学基团之间的相互作用。最近的研究表明,PDE问题的边界积分方程公式自然地引出了一种称为基于边界积分的静电估计(BIBEE)的新方法来近似静电相互作用。在本文中,我们证明了BIBEE方法可用于严格界定实际连续介质理论的静电自由能。使用一组600多种蛋白质对这些界限进行了验证。给出了从分子动力学模拟中获取的肽甲硫氨酸脑啡肽结构的详细数值结果。这些界限,再加上我们证明BIBEE方法能准确再现成对相互作用,为构建高精度且计算易处理的静电模型提出了一种新方法。