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I-TASSER I-TASSER-MTD C-I-TASSER CR-I-TASSER QUARK C-QUARK 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


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 (HB) networks using multiple deep neural-network predictors, including AttentionPotential (self-attention network built on MSA transformer) and DeepPotential. Meanwhile, it identifies structural templates from the PDB by the meta-threading LOMETS3 approach. The full-length atomic models are finally assembled by iterative fragment assembly Monte Carlo simultions under the guidance of I-TASSER force field and deep-learning contact/distance/HB restraints, where biological functions of the query protein are derived from the structure models 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. D-I-TASSER server provides an optional D-I-TASSER-AF2 pipeline, which incorporates AlphaFold2 restraints with D-I-TASSER and generates models with average accuracy higher than both D-I-TASSER and AlphaFold2. Please report problems and questions at our Discussion Board.

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