Mining Amphibian and Insect Transcriptomes for Antimicrobial Peptide Sequences with rAMPage.
Ontology highlight
ABSTRACT: Antibiotic resistance is a global health crisis increasing in prevalence every day. To combat this crisis, alternative antimicrobial therapeutics are urgently needed. Antimicrobial peptides (AMPs), a family of short defense proteins, are produced naturally by all organisms and hold great potential as effective alternatives to small molecule antibiotics. Here, we present rAMPage, a scalable bioinformatics discovery platform for identifying AMP sequences from RNA sequencing (RNA-seq) datasets. In our study, we demonstrate the utility and scalability of rAMPage, running it on 84 publicly available RNA-seq datasets from 75 amphibian and insect species-species known to have rich AMP repertoires. Across these datasets, we identified 1137 putative AMPs, 1024 of which were deemed novel by a homolo
SUBMITTER: Lin D
PROVIDER: S-EPMC9312091 | biostudies-literature | 2022 Jul
REPOSITORIES: biostudies-literature
ACCESS DATA