Advances in computational protein design

被引:64
|
作者
Park, S
Xi, Y
Saven, JG
机构
[1] Univ Penn, Makineni Theoret Labs, Philadelphia, PA 19104 USA
[2] Univ Penn, Dept Chem, Philadelphia, PA 19104 USA
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/j.sbi.2004.06.002
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
Computational protein design continues to experience a variety of methodological advances. Several improvements have been suggested for the objective functions used to quantify sequence/structure compatibility. Disparate design strategies based upon dead-end elimination, simulated annealing and statistical design have each recently yielded striking successes involving de novo designed proteins with sizes on the order of 100 residues or greater. Such methods may be used to design new proteins, as well as to redesign natural proteins to facilitate structural and biophysical studies.
引用
收藏
页码:487 / 494
页数:8
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