Scoring functions in protein folding and design

被引:0
|
作者
Dima, RI
Banavar, JR
Maritan, A
机构
[1] Penn State Univ, Dept Phys, University Pk, PA 16802 USA
[2] Penn State Univ, Ctr Phys Mat, University Pk, PA 16802 USA
[3] SISSA, I-34014 Trieste, Italy
[4] INFM, Trieste, Italy
[5] Abdus Salam Int Ctr Theoret Phys, Trieste, Italy
关键词
energy-based approach; Monte Carlo procedure; perceptron optimization procedure; statistical approach; three-dimensional lattice model;
D O I
暂无
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
We present an analysis of the assumptions behind some of the most commonly used methods for evaluating the goodness of the fit between a sequence and a structure. Our studies on a lattice model show that methods based on statistical considerations are easy to use and can capture some of the features of protein-like sequences and their corresponding native states, but unfortunately are incapable of recognizing, with certainty, the native-like conformation of a sequence among a set of decoys. Meanwhile, an optimization method, entailing the determination of the parameters of an effective free energy of interaction, is much more reliable in recognizing the native state of a sequence. However, the statistical method is shown to perform quite well in tests of protein design.
引用
收藏
页码:812 / 819
页数:8
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