Unknown

Dataset Information

Empirical comparison of web-based antimicrobial peptide prediction tools.


ABSTRACT:

Motivation

Antimicrobial peptides (AMPs) are innate immune molecules that exhibit activities against a range of microbes, including bacteria, fungi, viruses and protozoa. Recent increases in microbial resistance against current drugs has led to a concomitant increase in the need for novel antimicrobial agents. Over the last decade, a number of AMP prediction tools have been designed and made freely available online. These AMP prediction tools show potential to discriminate AMPs from non-AMPs, but the relative quality of the predictions produced by the various tools is difficult to quantify.

Results

We compiled two sets of AMP and non-AMP peptides, separated into three categories-antimicrobial, antibacterial and bacteriocins. Using these benchmark data sets, we carried out a

SUBMITTER: Gabere MN 

PROVIDER: S-EPMC5860510 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature