There are 2 repositories under antimicrobial-peptides topic.
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
AMPcombi parses and filters results from AMP prediction tools
A model for predicting short antimicrobial peptides (length <=30 residues) using multiple features and deep learning approaches
Antimicrobial Peptide Predictor Using Finetuned Protein Transformers
StarPep toolbox: a software for studying the antimicrobial chemical space with newtork science tools and similarity searching models
Analysis of potential membrane disruption and stability of antimicrobial cationic peptides by molecular dynamics simulations
Antimicrobial activity prediction for fungal effector candidates
gmx_wheel+ is a tool for analysing and visualizing the orientation of helical antimicobial peptides based on molecular dynamics simulations
Website for global antimicrobial peptides.
Benchmarks in antimicrobial peptide prediction are biased due to the selection of negative data.
Predict the activity of antimicrobial peptides
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.
WebApp used in antimicrobials resistance study in veterinary medicine in the city of Madrid, ES.