●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

TripletRes is a method for protein inter-residue contact prediction. For a query sequence, TripletRes starts with the collection of deep multiple sequence alignments (MSAs) through whole-genome and metagenome sequence databases. Next, three complimentary coevolutionay feature matrices (covariance martrix, precision matrix and the pseudolikelihood maximization) extracted from the MSAs are used to create contact-map models through deep residual convolutional neural network training.

TripletRes server (Example output)

Cut and paste your sequence, in plain text format. Example input


Or upload sequence from your computer:

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

ID: (optional, name of the protein)

TripletRes Download:

• Download the TripletRes (Post-CASP13) standalone package.
• Download the extented 26,151 training set of TripletRes (Post-CASP13).
• Download the hybrid test set of 37 targets.

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• Download the TripletRes standalone package.
• Download the test set of 50 FM CASP11&12 targets.
• Download the test set of 195 hard CAMEO targets.
• Download the predictions by TripletRes on 31 FM CASP13 targets.
• Download the training set of TripletRes.

TripletRes News:

• 2019/10/23: New version of TripletRes is online by incorporating distance information during neural network training.
• 2018/11/30: TripletRes (Group ID: 032) was ranked as one of the top servers in 13th community-wide CASP experiment for automated protein contact-map prediction.

• Yang Li, Chengxin Zhang, Eric W. Bell, Wei Zheng, Xiaogen Zhou, Dongjun Yu, Yang Zhang. Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks. PLoS Computational Biology, e1008865 (2021) [PDF] [Supporting Information]