Home Research COVID-19 Services Publications People Teaching Job Opening News Forum Lab Only
Online Services

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

I-TASSER-MTD is a hierarchical protocol to predict structures and functions of multi-domain (MTD) proteins. It first predicts the domain boundaries by FUpred and ThreaDom based on the deep-learning contact-map prediction and multiple threading alignments. Next, the structure model of each individual domain is constructed independently by I-TASSER guided by the deep learning predicted spatial restraints. Finally, the individual domain models are assembled into full-length structure by DEMO under guidance of quaternary structural templates and deep-learning distance profiles. Meanwhile, the protein functions at both domain level and full-chain level are annotated by COFACTOR based on structures, sequences, and protein-protein interaction networks. (>>more about I-TASSER-MTD ...)

[About]  [Download]  [Server statistics]  [Example output]  [Forum]


I-TASSER-MTD On-line Server [View an example output]


I-TASSER-MTD Resource:
References:

zhanglabzhanggroup.org | +65-6601-1241 | Computing 1, 13 Computing Drive, Singapore 117417