AIMC Topic: Drug Resistance, Microbial
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PLM-ARG: antibiotic resistance gene identification using a pretrained protein language model.
Bioinformatics (Oxford, England)
Nov 1, 2023
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 resi...
CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database.
Nucleic acids research
Jan 6, 2023
The Comprehensive Antibiotic Resistance Database (CARD; card.mcmaster.ca) combines the Antibiotic Resistance Ontology (ARO) with curated AMR gene (ARG) sequences and resistance-conferring mutations to provide an informatics framework for annotation a...
Automated extraction of genes associated with antibiotic resistance from the biomedical literature.
Database : the journal of biological databases and curation
Jan 29, 2022
The detection of bacterial antibiotic resistance phenotypes is important when carrying out clinical decisions for patient treatment. Conventional phenotypic testing involves culturing bacteria which requires a significant amount of time and work. Who...
Predicting Antibiotic Resistance in Hospitalized Patients by Applying Machine Learning to Electronic Medical Records.
Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
Jun 1, 2021
BACKGROUND: Computerized decision support systems are becoming increasingly prevalent with advances in data collection and machine learning (ML) algorithms. However, they are scarcely used for empiric antibiotic therapy. Here, we predict the antibiot...
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