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DeepMSA
Deep Multiple Sequence Alignment Generation

DeepMSA is a composite approach to generate high quality multiple sequence alignment with large alignment depth and diverse sequence sources by merging sequences from whole-genome sequence databases (Uniclust30 and UniRef90) and from metagenome database (Metaclust). Large-scale benchmark data show that DeepMSA profiles consistently improves contact prediction, secondary structure prediction, and threading over default HHblits or PSI-BLAST profiles.


Online server (view example output)

    Cut and paste your sequence (in FASTA format) below: Example input

    Or upload the sequence from your local computer:

    Email: (mandatory, where results will be sent to)

    ID: (optional, your given name of the protein)


Package download:


References:
  • Chengxin Zhang, Wei Zheng, S M Mortuza, Yang Li, Yang Zhang (2019) DeepMSA: constructing deep multiple sequence alignment to improve contact prediction and fold-recognition for distant-homology proteins. Bioinformatics. [PDF] [Supporting Information]

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