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Published on: January 26, 2024
amPEPpy 1.0: a portable and accurate antimicrobial peptide prediction tool
Travis J Lawrence1, Dana L Carper1, Margaret K Spangler1
1Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
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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