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一种计算蛋白质静电溶剂化能的新量子方法。

A new quantum method for electrostatic solvation energy of protein.

作者信息

Mei Ye, Ji Changge, Zhang John Z H

机构信息

Institute of Theoretical and Computational Chemistry, Key Laboratory of Mesoscopic Chemistry of MOE, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210093, People's Republic of China.

出版信息

J Chem Phys. 2006 Sep 7;125(9):094906. doi: 10.1063/1.2345201.

Abstract

A new method that incorporates the conductorlike polarizable continuum model (CPCM) with the recently developed molecular fractionation with conjugate caps (MFCC) approach is developed for ab initio calculation of electrostatic solvation energy of protein. The application of the MFCC method makes it practical to apply CPCM to calculate electrostatic solvation energy of protein or other macromolecules in solution. In this MFCC-CPCM method, calculation of protein solvation is divided into calculations of individual solvation energies of fragments (residues) embedded in a common cavity defined with respect to the entire protein. Besides computational efficiency, the current approach also provides additional information about contribution to protein solvation from specific fragments. Numerical studies are carried out to calculate solvation energies for a variety of peptides including alpha helices and beta sheets. Excellent agreement between the MFCC-CPCM result and those from the standard full system CPCM calculation is obtained. Finally, the MFCC-CPCM calculation is applied to several real proteins and the results are compared to classical molecular mechanics Poisson-Boltzmann (MM/PB) and quantum Divid-and-Conque Poisson-Boltzmann (D&C-PB) calculations. Large wave function distortion energy (solute polarization energy) is obtained from the quantum calculation which is missing in the classical calculation. The present study demonstrates that the MFCC-CPCM method is readily applicable to studying solvation of proteins.

摘要

一种将类导体极化连续介质模型(CPCM)与最近开发的共轭帽分子分馏(MFCC)方法相结合的新方法被开发出来,用于从头计算蛋白质的静电溶剂化能。MFCC方法的应用使得将CPCM应用于计算溶液中蛋白质或其他大分子的静电溶剂化能变得切实可行。在这种MFCC-CPCM方法中,蛋白质溶剂化的计算被分为对嵌入相对于整个蛋白质定义的公共腔中的片段(残基)的个体溶剂化能的计算。除了计算效率外,当前方法还提供了关于特定片段对蛋白质溶剂化贡献的额外信息。进行了数值研究以计算包括α螺旋和β折叠在内的各种肽的溶剂化能。MFCC-CPCM结果与标准全系统CPCM计算结果之间取得了极好的一致性。最后,将MFCC-CPCM计算应用于几种实际蛋白质,并将结果与经典分子力学泊松-玻尔兹曼(MM/PB)和量子分而治之泊松-玻尔兹曼(D&C-PB)计算进行比较。量子计算得到了经典计算中缺失的大波函数畸变能(溶质极化能)。本研究表明,MFCC-CPCM方法很容易应用于研究蛋白质的溶剂化。

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