I-TASSER-MD: A deep-learning based platform for multi-domain protein structure and function prediction

Online Services

●I-TASSER ●QUARK ●LOMETS ●COACH ●COFACTOR ●MetaGO ●MUSTER ●CEthreader ●SEGMER ●FG-MD ●ModRefiner ●REMO ●DEMO ●SPRING ●COTH ●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 ●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

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 ...)

The server is moved to https://zhanggroup.org/I-TASSER-MTD/.

References:

Xiaogen Zhou, Wei Zheng, Yang Li, Robin Pearce, Chengxin Zhang, Eric W. Bell, Guijun Zhang, and Yang Zhang. I-TASSER-MTD: A deep-learning based platform for multi-domain protein structure and function prediction, Nature Protocols, in press, 2022.

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