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AmpLM: Target-conditioned antimicrobial peptide generation with measured-MIC preference learning

Year: 2026

Type: preprint

Abstract: This package accompanies “AmpLM: Target-conditioned antimicrobial peptide generation with measured-MIC preference learning”. AmpLM (antimicrobial peptide language model) generates peptide candidates using a broad or pathogen-specific target condition. The package provides generation code, training datasets, model weights from four training stages, and the manuscript figures and tables. The main manuscript and Supplementary Information are supplied separately as Word and PDF files alongside this archive.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23878930

Author: YU, Xuan

Language: English

Topic: Antimicrobial Peptides and Activities

Subfield: Microbiology

Field: Immunology and Microbiology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W7225117765

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