(Meta-)genome screening for functional and natural product gene sequences

Collects software dedicated to predicting specific properties of peptides

HydrAMP: a deep generative model for antimicrobial peptide discovery

Classification models for hemolytic nature and hemolytic activity predictions in peptide/protein sequences

Antimicrobial Peptide Scanner Version 2. Open source GLPv3 release of code from 2018 paper "Deep learning improves antimicrobial peptide recognition" published in the journal Bioinformatics: https://doi.org/10.1093/bioinformatics/bty179

Streamlit web application to deploy a machine learning binary classifier to predict the activity of antimicrobial peptides

AMPcombi parses and filters results from AMP prediction tools

PyAMPA: The new version of the AMPA software

Antimicrobial Peptide Predictor Using Finetuned Protein Transformers

A model for predicting short antimicrobial peptides (length <=30 residues) using multiple features and deep learning approaches

StarPep toolbox: a software for studying the antimicrobial chemical space with newtork science tools and similarity searching models

Antimicrobial activity prediction for fungal effector candidates

AMPidentifier: A modular python toolkit for predicting antimicrobial peptides using ensemble machine learning (BR 51 2025 005859-4)

Analysis of potential membrane disruption and stability of antimicrobial cationic peptides by molecular dynamics simulations

gmx_wheel+ is a tool for analysing and visualizing the orientation of helical antimicobial peptides based on molecular dynamics simulations

EIPpred: Prediction of Inhibitory peptides against E.coli

Predict the activity of antimicrobial peptides

An LLM-based multi-agent framework for the autonomous discovery and optimization of antimicrobial peptides (AMPs) from metagenomic data.

Website for global antimicrobial peptides.