PLM-ARG: antibiotic resistance gene identification using a pretrained protein language model.

ABSTRACT:

Motivation

Antibiotic resistance presents a formidable global challenge to public health and the environment. While considerable endeavors have been dedicated to identify antibiotic resistance genes (ARGs) for assessing the threat of antibiotic resistance, recent extensive investigations using metagenomic and metatranscriptomic approaches have unveiled a noteworthy concern. A significant fraction of proteins defies annotation through conventional sequence similarity-based methods, an issue that extends to ARGs, potentially leading to their under-recognition due to dissimilarities at the sequence level.

Results

Herein, we proposed an Artificial Intelligence-powered ARG identification framework using a pretrained large protein language model, enabling ARG identification and re

SUBMITTER: Wu J 

PROVIDER: S-EPMC10676515 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature