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I-TASSER I-TASSER-MTD C-I-TASSER CR-I-TASSER QUARK C-QUARK DMFold LOMETS MUSTER CEthreader SEGMER DeepFold DeepFoldRNA FoldDesign COFACTOR COACH MetaGO TripletGO IonCom FG-MD ModRefiner REMO DEMO DEMO-EM SPRING COTH Threpp PEPPI BSpred ANGLOR EDock BSP-SLIM SAXSTER FUpred ThreaDom ThreaDomEx EvoDesign BindProf BindProfX SSIPe GPCR-I-TASSER MAGELLAN ResQ STRUM DAMpred

TM-score TM-align US-align MM-align RNA-align NW-align LS-align EDTSurf MVP MVP-Fit SPICKER HAAD PSSpred 3DRobot MR-REX I-TASSER-MR SVMSEQ NeBcon ResPRE TripletRes DeepPotential WDL-RF ATPbind DockRMSD DeepMSA FASPR EM-Refiner GPU-I-TASSER

BioLiP E. coli GLASS GPCR-HGmod GPCR-RD GPCR-EXP Tara-3D TM-fold DECOYS POTENTIAL RW/RWplus EvoEF HPSF THE-DB ADDRESS Alpaca-Antibody CASP7 CASP8 CASP9 CASP10 CASP11 CASP12 CASP13 CASP14


C-I-TASSER (Contact-guided Iterative Threading ASSEmbly Refinement) is a new method extended from I-TASSER for high-accuracy protein structure and function predictions. Starting from a query sequence, C-I-TASSER first generates inter-residue contact maps using multiple deep neural-network predictors, including NeBcon, ResPRE, and TripletRes. It then identifies structural templates from the PDB by multiple threading approach LOMETS, with full-length atomic models assembled by contact-map guided replica-exchange Monte Carlo simulations. Biological functions of the query protein are finally derived from the structure model by COFACTOR. The large-scale benchmark tests showed that C-I-TASSER generates significantly more accurate models than I-TASSER, especially for the sequences that do not have homologous templates in the PDB. The output model of C-I-TASSER server is given by both PDB format and ModelCIF format now. Please report problems and questions at our Discussion Board.

CASP: Call for targets for the 2024 CASP modeling experiment [valid till 2024/7/1]

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C-I-TASSER On-line Server (View example output):
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