Streamlit web application to deploy a machine learning binary classifier to predict the activity of antimicrobial peptides
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Updated
Dec 13, 2022 - Python
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
Antimicrobial activity prediction for fungal effector candidates
PyAMPA: The new version of the AMPA software
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
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
Antimicrobial Peptide web Database built with Django. Decreasing research costs to new antibiotics.
Antifungal peptide mesoricin design
Projeto básico/simplista de como criar sequências de AMPs com características fisico-químicas específicas.
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