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AMPidentifier, antimicrobial peptide prediction with ensemble machine learning

AMPidentifier is a toolkit for antimicrobial peptide (AMP) prediction and identification using ensemble machine learning: gradient boosting, XGBoost and LightGBM (AUC 0.950, Sens. 0.949, Spec. 0.784). Free, no login required, available as web server, CLI and Python package.

— sequences classified
— prediction runs
— cities reached
— unique users

For advanced parameter control use the CLI version or install via PyPI: pip install ampidentifier

This is the stable layout: Access the beta version here