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

TM-score TM-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 WDL-RF ATPbind DockRMSD DeepMSA

BioLiP E. coli GLASS GPCR-HGmod GPCR-RD GPCR-EXP Tara-3D TM-fold DECOYS POTENTIAL RW/RWplus EvoEF HPSF THE-DB CASP7 CASP8 CASP9 CASP10 CASP11 CASP12 CASP13

ANGLOR is a machine-learning based algorithm for ab initio prediction of protein backbone torsion angles. For a given amino acid sequence, the real-value backbone torsion angles (phi and psi) for each residue are predicted by the combination of the neural network training and the support vector machine.

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