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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

DEMO (Domain Enhanced MOdeling, version 2) is an significantly improved version for automated assembly of full-length structural models of multi-domain proteins by integratingĀ analogous template alignments with deep-learning predicted inter-domain spatial restraints. Starting from individual domain structures, quaternary structure templates that have similar component domains are identified by domain-level structural alignments using TM-align. Meanwhile, inter-domain spatial restraints are predicted by the deep residual neural-network-based predictor DeepPotential. Full-length models are then created by a fast quasi-Newton optimization for rigid-body domain structure assembly, which are guided by the DeepPotential predicted inter-domain restraints, inter-domain distance profiles collected from the top-ranked quaternary templates, and physics-based steric potentials. The final models are selected from the low energy conformations and further refined with fragment-guided molecule dynamics simulations. Large-scaled benchmark tests showed that the performance is significantly beyond its predecessor. (>>more about the server ...)

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