●I-TASSER ●I-TASSER-MTD ●C-I-TASSER ●CR-I-TASSER ●QUARK ●C-QUARK ●DMFold ●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

C-I-TASSER (Contact-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, C-I-TASSER first generates inter-residue contact maps using multiple deep neural-network predictors, including NeBcon, ResPRE, and TripletRes. It then identifies structural templates from the PDB by multiple threading approach LOMETS, with full-length atomic models assembled by contact-map 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 C-I-TASSER generates significantly more accurate models than I-TASSER, especially for the sequences that do not have homologous templates in the PDB. The output model of C-I-TASSER server is given by both PDB format and ModelCIF format now. Please report problems and questions at our Discussion Board.

CASP: Call for targets for the 2024 CASP modeling experiment [valid till 2024/7/1]

Copy and paste your sequence below ([10, 750] residues in FASTA format). Click here for a sample input: Or upload the sequence from your local computer: Email: (mandatory, where results will be sent to) ID: (optional, your given name of the protein) Predict protein function based on structure model (running time may be doubled). Advanced options [?] Assign full contact map: Example contact [?] Or upload sequence from your computer: Exclude templates: [?] keep all identified templates (recommended). remove templates from protein sharing >30% sequence identity with target. (Please submit a new job only after your old job is completed)

• C-I-TASSER standalone package
• Benchmark and membrane dataset
• Structure models for Pfam domain families
• Structural models for SARS-CoV-2 genome

• Wei Zheng, Chengxin Zhang, Yang Li, Robin Pearce, Eric W. Bell, Yang Zhang. Folding non-homologous proteins by coupling deep-learning contact maps with I-TASSER assembly simulations. Cell Reports Methods, 1: 100014 (2021). [PDF] [Support Information]