Pepxml: ESM2-based extreme multilabel classification of pathogen-targeted antimicrobial peptides.

ABSTRACT: In recent years, antimicrobial peptides (AMPs) have attracted interest as potential peptide antibiotic due to their broad-spectrum antibacterial activity and high target specificity. However, existing research on AMP prediction mainly focuses on their functional properties, such as antibacterial, antiviral, and anticancer. This emphasis has created a significant gap in identifying AMPs that specifically target pathogens. Given the large variety of pathogens and the sparsity and imbalance of labels, it is challenging to determine which specific pathogens AMPs can effective against. To address this issue, we present PepXML, a large language model-based tool for extreme multilabel classification of pathogen-targeted AMPs. Our first step involved constructing a benchmark dataset of AMPs and th

SUBMITTER: Bin Y 

PROVIDER: S-EPMC12531984 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature