DeepMSA: deep multiple sequence alignment generation

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●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

DeepMSA

Deep Multiple Sequence Alignment Generation

DeepMSA (version 1) is an approach to generate multiple sequence alignment (MSA) through iterative search of whole-genome (Uniclust30 and UniRef90) and metagenome (Metaclust) sequence databases. DeepMSA1 is desgined only for single-chain proteins. For multi-chain complexes and for single-chain monomers with much enhanced performance, please refer to DeepMSA2.

DeepMSA version 1 package download:

Download standalone package (version 1).
Download benchmark dataset of DeepMSA (version 1).
Download per target assessment result on DeepMSA (version 1) dataset, including detail assessment results for DeepMSA-guided contact prediction, threading, and secondary prediction.
Download DeepMSA (version 1) results for CASP13 targets, including full-length and domain-level DeepMSA alignments, as well as DeepMSA-guided TripletRes and ResTriplet contact maps.

References:

Chengxin Zhang, Wei Zheng, S M Mortuza, Yang Li, Yang Zhang. DeepMSA: constructing deep multiple sequence alignment to improve contact prediction and fold-recognition for distant-homology proteins. Bioinformatics, 36: 2105-2112 (2020). [PDF] [Supporting Information]