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. 2021 Aug 4;37(14):2058-2060.
doi: 10.1093/bioinformatics/btaa917.

amPEPpy 1.0: a portable and accurate antimicrobial peptide prediction tool

Travis J Lawrence  1 , Dana L Carper  1 , Margaret K Spangler  1 , Alyssa A Carrell  1 , Tomás A Rush  1 , Stephen J Minter  2 , David J Weston  1 , Jessy L Labbé  1
Affiliations

amPEPpy 1.0: a portable and accurate antimicrobial peptide prediction tool

Travis J Lawrence et al. Bioinformatics. .

Abstract

Summary: Antimicrobial peptides (AMPs) are promising alternative antimicrobial agents. Currently, however, portable, user-friendly and efficient methods for predicting AMP sequences from genome-scale data are not readily available. Here we present amPEPpy, an open-source, multi-threaded command-line application for predicting AMP sequences using a random forest classifier.

Availability and implementation: amPEPpy is implemented in Python 3 and is freely available through GitHub (https://github.com/tlawrence3/amPEPpy).

Supplementary information: Supplementary data are available at Bioinformatics online.

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