●I-TASSER ●QUARK ●LOMETS ●COACH ●COFACTOR ●MetaGO ●MUSTER ●SEGMER ●FG-MD ●ModRefiner ●REMO ●SPRING ●COTH ●BSpred ●SVMSEQ ●ANGLOR ●BSP-SLIM ●SAXSTER ●ThreaDom ●ThreaDomEx ●EvoDesign ●GPCR-I-TASSER ●BindProf ●BindProfX ●ResQ ●IonCom ●STRUM

●TM-score ●TM-align ●MM-align ●NW-align ●LS-align ●EDTSurf ●MVP ●MVP-Fit ●SPICKER ●HAAD ●PSSpred ●3DRobot ●I-TASSER-MR ●NeBcon ●WDL-RF ●ATPbind

●BioLiP ●E. coli ●GLASS ●GPCR-HGmod ●GPCR-RD ●GPCR-EXP ●TM-fold ●DECOYS ●POTENTIAL ●RW ●HPSF ●CASP7 ●CASP8 ●CASP9 ●CASP10 ●CASP11 ●CASP12

TM-IMC is an algorithm for automated annotation of Gene Ontology (GO) term for G protein-coupled receptors (GPCRs) using features derived from text mining and induced matrix completion of GPCR-GO associatation matrix.

• Download TM-IMC program: TM-IMC.tar.bz2.
• Download TM-IMC document: README.txt.

• Jiansheng Wu, Qin Yin, Chengxin Zhang, Jingjing Geng, Hongjie Wu, Haifeng Hu, Xiaoyan Ke, Yang Zhang. Function Prediction for G Protein-Coupled Receptors through Text Mining and Induction Matrix Completion. ACS Omega 4.2 (2019): 3045-3054.