Effective energy functions for protein structure prediction

被引：360

作者：

Lazaridis, T

Karplus, M

机构：

[1] CUNY City Coll, Dept Chem, New York, NY 10031 USA

[2] Harvard Univ, Dept Chem & Biol Chem, Cambridge, MA 02138 USA

[3] Univ Strasbourg, Inst Le Bel, ISIS, Lab Chim Biophys, F-67000 Strasbourg, France

来源：

CURRENT OPINION IN STRUCTURAL BIOLOGY | 2000年 / 10卷 / 02期

基金：

美国国家科学基金会; 美国国家卫生研究院;

关键词：

D O I：

10.1016/S0959-440X(00)00063-4

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Protein structure prediction, fold recognition, homology modeling and design rely mainly on statistical effective energy functions. Although the theoretical foundation of such functions is not clear, their usefulness has been demonstrated in many applications. Molecular mechanics force fields, particularly when augmented by implicit solvation models, provide physical effective energy functions that are beginning to play a role in this area.

引用

页码：139 / 145

页数：7

共 87 条

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