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

TM-score TM-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 WDL-RF ATPbind DockRMSD DeepMSA FASPR EM-Refiner

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


D-I-TASSER (Distance-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, D-I-TASSER first generates inter-residue contact maps, distance maps and hydrogen-bond networks using multiple deep neural-network predictors, including DeepPotential, NeBcon, ResPRE, ResTriplet, and TripletRes. It then identifies structural templates from the PDB by multiple threading approach LOMETS3, with full-length atomic models assembled by contact/distance/hydrogen bond- 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 D-I-TASSER generates significantly more accurate models than I-TASSER, especially for the sequences that do not have homologous templates in the PDB. Please report problems and questions at our Discussion Board.

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

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