State-of-the-art bioinformatics protein structure prediction tools (Review)

被引:23
作者
Pavlopoulou, Athanasia [2 ]
Michalopoulos, Ioannis [1 ]
机构
[1] Acad Athens, Biomed Res Fdn, Ctr Immunol & Transplantat, Athens 11527, Greece
[2] Univ Patras, Dept Pharm, Sch Hlth Sci, Rion, Greece
关键词
protein structure prediction; multiple sequence alignment; pairwise sequence similarity search; phylogenetic analysis; SECONDARY STRUCTURE PREDICTION; MULTIPLE SEQUENCE ALIGNMENT; WEB SERVER; FUNCTIONAL ANNOTATION; FOLD RECOGNITION; NATIONAL CENTER; LARGE-SCALE; PSI-BLAST; GOR-V; DATABASE;
D O I
10.3892/ijmm.2011.705
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Knowledge of the native structure of a protein could provide an understanding of the molecular basis of its function. However, in the postgenomics era, there is a growing gap between proteins with experimentally determined structures and proteins without known structures. To deal with the overwhelming data, a collection of automated methods as bioinformatics tools which determine the structure of a protein from its amino acid sequence have emerged. The aim of this paper is to provide the experimental biologists with a set of cutting-edge, carefully evaluated, user-friendly computational tools for protein structure prediction that would be helpful for the interpretation of their results and the rational design of new experiments.
引用
收藏
页码:295 / 310
页数:16
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