(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

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

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

AMPcombi parses and filters results from AMP prediction tools

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

Antimicrobial Peptide Predictor Using Finetuned Protein Transformers

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

Antimicrobial activity prediction for fungal effector candidates

PyAMPA: The new version of the AMPA software

HMMER-based microcin search using full microcin sequences and double-glycine signal region.

Antimicrobial Peptide web Database built with Django. Decreasing research costs to new antibiotics.

Benchmarks in antimicrobial peptide prediction are biased due to the selection of negative data.

Website for global antimicrobial peptides.

WebApp used in antimicrobials resistance study in veterinary medicine in the city of Madrid, ES.

Predict the activity of antimicrobial peptides