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

Benchmark datasets for: Roy, Ambrish, and Yang Zhang. "Recognizing protein-ligand binding sites by global structural alignment and local geometry refinement." Structure 20.6 (2012): 987-997.

• Training Set: 348 representative protein-ligand complexes collected from PDB for the purpose of training. Also includes CASP7 and CASP8 targets.
  
• Testing Set: 501 proteins used for testing COFACTOR.
  
• Results: Results obtained for the testing dataset using COFACTOR.
  The above datasets are collected from the following published literature:
  • Dessailly, Benoit H., et al. "LigASite—a database of biologically relevant binding sites in proteins with known apo-structures." Nucleic acids research 36.suppl 1 (2008): D667-D673.
    
  • Perola, Emanuele, et al. "A detailed comparison of current docking and scoring methods on systems of pharmaceutical relevance." Proteins: Structure, Function, and Bioinformatics 56.2 (2004): 235-249.
    
  • Hartshorn, Michael J., et al. "Diverse, high-quality test set for the validation of protein-ligand docking performance." Journal of medicinal chemistry 50.4 (2007): 726-741.
    

Benchmark datasets for: Roy, Ambrish, Jianyi Yang, and Yang Zhang. "COFACTOR: an accurate comparative algorithm for structure-based protein function annotation." Nucleic acids research (2012): gks372.

• EC set: 318 representative PDB entries with Enzyme Commission (EC) number annotation.
  
• GO set: 337 representative PDB entries with Gene Ontology (GO) annotation.
  

Benchmark datasets for: Chengxin Zhang, Peter L Freddolino, and Yang Zhang. "COFACTOR: improved protein function prediction by combining structure, sequence, and protein-protein interaction information." Nucleic acids research (2017): gkx366.

• GO set: 1244 representative UniProt proteins with experimental Gene Ontology (GO) annotation and structure models predicted by I-TASSER.
  
• EC set: 318 representative PDB proteins with Enzyme Commission (EC) number annotation and structure models predicted by I-TASSER.
  
• LBS set: 500 representative PDB proteins with experimental structure for ligand binding and structure models predicted by I-TASSER.
  
• Figures: Source code of figures published with the COFACTOR paper.
  
• Naïve: The background probability of GO terms used by the "Naïve" baseline predictor.