Advances in protein structure prediction and de novo protein design:: A review

被引：165

作者：

Floudas, CA ^{[1
]}

Fung, HK ^{[1
]}

McAllister, SR ^{[1
]}

Mönnigmann, M ^{[1
]}

Rajgaria, R ^{[1
]}

机构：

[1] Princeton Univ, Dept Chem Engn, Princeton, NJ 08544 USA

来源：

CHEMICAL ENGINEERING SCIENCE | 2006年 / 61卷 / 03期

基金：

美国国家科学基金会; 美国国家卫生研究院;

关键词：

protein folding; de novo protein design; loop structure prediction; force field development;

D O I：

10.1016/j.ces.2005.04.009

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

This review provides an exposition to the important problems of (i) structure prediction in protein folding and (ii) de novo protein design. The recent advances in protein folding are reviewed based on a classification of the approaches in comparative modeling, fold recognition, and first principles methods with and without database information. The advances towards the challenging problem of loop structure prediction and the first principles method, ASTRO-FOLD, along with the developments in the area of force-fields development have been discussed. Finally, the recent progress in the area of de novo protein design is presented with focus on template flexibility, in silico sequence selection, and successful peptide and protein designs. (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：966 / 988

页数：23

共 252 条

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