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.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1093/bioinformatics/btaa917 | DOI Listing |
Publication Analysis
Top Keywords
predicting amp
8
amp sequences
8
ampeppy portable
4
portable accurate
4
accurate antimicrobial
4
antimicrobial peptide
4
peptide prediction
4
prediction tool
4
tool summary
4
summary antimicrobial
4
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!