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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


ATPbind is a meta-server approach to protein-ATP binding site prediction. Starting from given structure of query protein, ATPbind will identify the ATP-binding sites by using SVM to integrate the outputs of two template-based predictors, i.e., S-SITEatp (the extension of S-SITE) and TM-SITEatp (the extension of TM-SITE), and three discriminative sequence-driven features, i.e., position specific scoring matrix (PSSM), predicted secondary structure, and predicted solvent accessibility. After protein-ATP binding site prediction, the ATPbind server implements a new binding pocket clustering scheme, PocHunter (download PocHunter.pdf to see the details), to identify the pockets based on the predicted binding sites.

[View an example of output] [List the benchmark dataset] [Download the benchmark dataset]

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