Recent advances in sequence-based protein structure prediction

被引:19
作者
Dukka, B. K. C. [1 ]
机构
[1] North Carolina A&T State Univ, Dept Computat Sci & Engn, Greensboro, NC 27411 USA
基金
美国国家科学基金会;
关键词
protein structure prediction; free modeling; template-based modeling; contact prediction; evolutionary constraints; CASP; NOVO STRUCTURE PREDICTION; MODEL QUALITY ASSESSMENT; DE-NOVO; 3-DIMENSIONAL STRUCTURE; CORRELATED MUTATIONS; CONTACT PREDICTIONS; FOLD RECOGNITION; RESIDUE CONTACTS; WEB SERVER; I-TASSER;
D O I
10.1093/bib/bbw070
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The most accurate characterizations of the structure of proteins are provided by structural biology experiments. However, because of the high cost and labor-intensive nature of the structural experiments, the gap between the number of protein sequences and solved structures is widening rapidly. Development of computational methods to accurately model protein structures from sequences is becoming increasingly important to the biological community. In this article, we highlight some important progress in the field of protein structure prediction, especially those related to free modeling (FM) methods that generate structure models without using homologous templates. We also provide a short synopsis of some of the recent advances in FM approaches as demonstrated in the recent Computational Assessment of Structure Prediction competition as well as recent trends and outlook for FM approaches in protein structure prediction.
引用
收藏
页码:1021 / 1032
页数:12
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