Zhou Yaoqi, Zhou Hongyi, Zhang Chi, Liu Song
Howard Hughes Medical Institute Center for Single Molecule Biophysics, Department of Physiology and Biophysics, State University of New York at Buffalo, 124 Sherman Hall, Buffalo, NY 14214, USA.
Cell Biochem Biophys. 2006;46(2):165-74. doi: 10.1385/cbb:46:2:165.
Can one obtain a physical energy function for proteins from statistical analysis of protein structures? A direct answer to this question is likely "no." Aless demanding question is whether one can produce a statistical energy function that has the desirable features of a physical-based energy function. Such a desirable energy function would be founded on a physical basis with few or no adjustable parameters, reproduce the known physical characters of amino acid residues, be mostly database independent and transferable, and, more importantly, reasonably accurate in various applications. In this review, we show how such a desirable energy function can be obtained via introducing a simple physical-based reference state called DFIRE (Distance-scaled, Finite, Ideal-gas REference state).
能否通过对蛋白质结构的统计分析获得蛋白质的物理能量函数?对这个问题的直接回答可能是“不能”。一个更具挑战性的问题是,能否产生一个具有基于物理的能量函数所期望特征的统计能量函数。这样一个理想的能量函数将基于物理基础,几乎没有或没有可调整的参数,再现氨基酸残基的已知物理特性,基本不依赖数据库且具有可转移性,更重要的是,在各种应用中都相当准确。在这篇综述中,我们展示了如何通过引入一种称为DFIRE(距离缩放、有限、理想气体参考状态)的简单基于物理的参考状态来获得这样一个理想的能量函数。