I-TASSER-MTD server for multi-domain protein structure and function prediction

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]

Copy and paste your sequence within [30, 3000] residues below (in FASTA format). Click for an example input:

Or upload the sequence from your local computer:

Email: (mandatory, where results will be sent to)

ID: (optional, your given name to this protein)

Option I: Provide your own domain definition.

Option II: Upload full-length template structures to guide the domain assembly.

Option III: Exclude some templates from the template library.

Option IV: Predict function of individual domains and full-length protein.

Option VI: Upload experimental data to assist the modeling.

I-TASSER-MTD Resource:

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, DOI: 10.1038/s41596-022-00728-0, 2022.
Xiaogen Zhou, Jun Hu, Chengxin Zhang, Guijun Zhang, Yang Zhang. Assembling multidomain protein structures through analogous global structural alignments. Proceedings of the National Academy of Sciences, 116: 15930-15938 (2019).

zhanglab

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