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折叠模拟中的快速边界元溶剂化静电计算:一个23残基肽的成功折叠

Rapid boundary element solvation electrostatics calculations in folding simulations: successful folding of a 23-residue peptide.

作者信息

Totrov M, Abagyan R

机构信息

Molsoft LLC, 3366 North Torrey Pines Ct., San Diego, CA 92037, USA.

出版信息

Biopolymers. 2001;60(2):124-33. doi: 10.1002/1097-0282(2001)60:2<124::AID-BIP1008>3.0.CO;2-S.

Abstract

Solvation effects play a profound role in the energetics of protein folding. While a continuum dielectric model of solvation may provide a sufficiently accurate estimate of the solvation effects, until now this model was too computationally expensive and unstable for folding simulations. Here we proposed a fast yet accurate and robust implementation of the boundary element solution of the Poisson equation, the REBEL algorithm. Using our earlier double-energy scheme, we included for the first time the mathematically rigorous continuous REBEL solvation term in our Biased Probability Monte Carlo (BPMC) simulations of the peptide folding. The free energy of a 23-residue beta beta alpha-peptide was then globally optimized with and without the solvation electrostatics contribution. An ensemble of beta beta alpha conformations was found at and near the global minimum of the energy function with the REBEL electrostatic solvation term. Much poorer correspondence to the native solution structure was found in the "control" simulations with a traditional method to account for solvation via a distance-dependent dielectric constant. Each simulation took less than 40 h (21 h without electrostatic solvation calculation) on a single Alpha 677 MHz CPU and involved more than 40,000 solvation energy evaluations. This work demonstrates for the first time that such a simulation can be performed in a realistic time frame. The proposed procedure may eliminate the energy evaluation accuracy bottleneck in folding simulations.

摘要

溶剂化效应在蛋白质折叠的能量学中起着深远的作用。虽然溶剂化的连续介质模型可能能够提供足够准确的溶剂化效应估计,但直到现在,该模型对于折叠模拟来说计算成本过高且不稳定。在此,我们提出了泊松方程边界元解的一种快速、准确且稳健的实现方法——REBEL算法。利用我们早期的双能方案,我们首次在肽折叠的有偏概率蒙特卡罗(BPMC)模拟中纳入了数学上严格的连续REBEL溶剂化项。然后,在有和没有溶剂化静电贡献的情况下,对一个23残基的ββα肽的自由能进行了全局优化。使用REBEL静电溶剂化项,在能量函数的全局最小值附近找到了一组ββα构象。在使用传统方法通过距离依赖介电常数来考虑溶剂化的“对照”模拟中,与天然溶液结构的对应关系要差得多。在单个677 MHz的Alpha CPU上,每次模拟耗时不到40小时(不进行静电溶剂化计算时为21小时),且涉及超过40,000次溶剂化能量评估。这项工作首次证明了这种模拟可以在实际的时间框架内进行。所提出的方法可能会消除折叠模拟中能量评估准确性的瓶颈。

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