I-TASSER server: new development for protein structure and function predictions

被引:1870
作者
Yang, Jianyi [1 ,2 ,3 ]
Zhang, Yang [1 ,4 ]
机构
[1] Univ Michigan, Dept Computat Med & Bioinformat, Ann Arbor, MI 48109 USA
[2] Nankai Univ, Sch Math Sci, Tianjin 300071, Peoples R China
[3] Nankai Univ, LPMC, Tianjin 300071, Peoples R China
[4] Univ Michigan, Dept Biol Chem, Ann Arbor, MI 48109 USA
关键词
ALGORITHM; ALIGNMENT;
D O I
10.1093/nar/gkv342
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
The I-TASSER server (http://zhanglab.ccmb.med.umich.edu/I-TASSER) is an online resource for automated protein structure prediction and structure-based function annotation. In I-TASSER, structural templates are first recognized from the PDB using multiple threading alignment approaches. Full-length structure models are then constructed by iterative fragment assembly simulations. The functional insights are finally derived by matching the predicted structure models with known proteins in the function databases. Although the server has been widely used for various biological and biomedical investigations, numerous comments and suggestions have been reported from the user community. In this article, we summarize recent developments on the I-TASSER server, which were designed to address the requirements from the user community and to increase the accuracy of modeling predictions. Focuses have been made on the introduction of new methods for atomic-level structure refinement, local structure quality estimation and biological function annotations. We expect that these new developments will improve the quality of the I-TASSER server and further facilitate its use by the community for high-resolution structure and function prediction.
引用
收藏
页码:W174 / W181
页数:8
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