AmPEP: Sequence-based prediction of antimicrobial peptides using distribution patterns of amino acid properties and random forest
Published 2018 View Full Article
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Title
AmPEP: Sequence-based prediction of antimicrobial peptides using distribution patterns of amino acid properties and random forest
Authors
Keywords
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Journal
Scientific Reports
Volume 8, Issue 1, Pages -
Publisher
Springer Nature
Online
2018-01-23
DOI
10.1038/s41598-018-19752-w
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- AntiBP2: improved version of antibacterial peptide prediction
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