I-TASSER: a unified platform for automated protein structure and function prediction. The iterative threading assembly refinement (I-TASSER) server is an integrated platform for automated protein structure and 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.

References in zbMATH (referenced in 18 articles )

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  4. Rout, Subhashree; Mahapatra, Rajani Kanta: \textitInsilico analysis of \textitplasmodiumfalciparum CDPK5 protein through molecular modeling, docking and dynamics (2019)
  5. Wentz, J. M.; Mendenhall, A. R.; Bortz, D. M.: Pattern formation in the longevity-related expression of heat shock protein-16.2 in Caenorhabditis elegans (2018)
  6. Dehghani, Behzad; Ghasabi, Farzane; Hashempoor, Tayebeh; Joulaei, Hassan; Hasanshahi, Zahra; Halaji, Mehrdad; Chatrabnous, Nazanin; Mousavi, Zahra; Moayedi, Javad: Functional and structural characterization of Ebola virus glycoprotein (1976--2015) -- an \textitinsilico study (2017)
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  11. Ding, Jin-Hong; Li, Ning; Wang, Man-Liu; Zhang, Yan; Lü, Shou-Qin; Long, Mian: The impact of N-terminal phosphorylation on LHCII conformation in state transition (2014) ioport
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  14. Heinke, Florian; Labudde, Dirk: Membrane protein stability analyses by means of protein energy profiles in case of nephrogenic diabetes insipidus (2012)
  15. Rahbar, Mohammad Reza; Rasooli, Iraj; Gargari, Seyed Latif Mousavi; Sandstrom, Gunnar; Amani, Jafar; Fattahian, Yaser; Jahangiri, Abolfazl; Jalali, Marziyeh: A potential in silico antibody-antigen based diagnostic test for precise identification of \textitAcinetobacterbaumannii (2012)
  16. Yaseen, Ashraf; Li, Yaohang: Accelerating knowledge-based energy evaluation in protein structure modeling with graphics processing units (2012) ioport
  17. Fonseca, Rasmus; Paluszewski, Martin; Winter, Pawel: Protein structure prediction using bee colony optimization metaheuristic (2010) ioport
  18. Zhang, Yang: I-TASSER server for protein 3D structure prediction (2008) ioport