Protein contact prediction using metagenome sequence data and residual neural networks
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DOI: 10.1093/bioinformatics/btz477
Abstract: MOTIVATION Almost all protein residue contact prediction methods rely on the availability of deep multiple sequence alignments (MSAs). However, many proteins from the poorly populated families do not have sufficient number of homologs in the… read more here.
Keywords: metagenome sequence; neural networks; sequence data; contact prediction ... See more keywords