I-TASSER: a unified platform for automated protein structure and function prediction

被引:4976
作者
Roy, Ambrish [1 ,2 ,3 ]
Kucukural, Alper [2 ,3 ]
Zhang, Yang [1 ,2 ,3 ]
机构
[1] Univ Michigan, Ctr Computat Med & Bioinformat, Ann Arbor, MI 48109 USA
[2] Univ Kansas, Ctr Bioinformat, Lawrence, KS 66045 USA
[3] Univ Kansas, Dept Mol Biosci, Lawrence, KS 66045 USA
基金
美国国家科学基金会;
关键词
FOLD-RECOGNITION; SEQUENCE-PROFILE; MODELS; DISCOVERY; EVOLUTION; ALIGNMENT; SERVER; CASP8;
D O I
10.1038/nprot.2010.5
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
function prediction based on the sequence-to-structure-to-function paradigm. Starting from an amino acid sequence, I-TASSER first generates three-dimensional (3D) atomic models from multiple threading alignments and iterative structural assembly simulations. The function of the protein is then inferred by structurally matching the 3D models with other known proteins. The output from a typical server run contains full-length secondary and tertiary structure predictions, and functional annotations on ligand-binding sites, Enzyme Commission numbers and Gene Ontology terms. An estimate of accuracy of the predictions is provided based on the confidence score of the modeling. This protocol provides new insights and guidelines for designing of online server systems for the state-of-the-art protein structure and function predictions. The server is available at http://zhanglab.ccmb.med.umich.edu/I-TASSER.
引用
收藏
页码:725 / 738
页数:14
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