Analysis of potential membrane disruption and stability of antimicrobial cationic peptides by molecular dynamics simulations
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Updated
Aug 6, 2014 - Shell
Analysis of potential membrane disruption and stability of antimicrobial cationic peptides by molecular dynamics simulations
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.
Benchmarks in antimicrobial peptide prediction are biased due to the selection of negative data.
Collects software dedicated to predicting specific properties of peptides
Classification models for hemolytic nature and hemolytic activity predictions in peptide/protein sequences
HydrAMP: a deep generative model for antimicrobial peptide discovery
Streamlit web application to deploy a machine learning binary classifier to predict the activity of antimicrobial peptides
gmx_wheel+ is a tool for analysing and visualizing the orientation of helical antimicobial peptides based on molecular dynamics simulations
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
A model for predicting short antimicrobial peptides (length <=30 residues) using multiple features and deep learning approaches
Predict the activity of antimicrobial peptides
PyAMPA: The new version of the AMPA software
Antimicrobial activity prediction for fungal effector candidates
AMPcombi parses and filters results from AMP prediction tools
HMMER-based microcin search using full microcin sequences and double-glycine signal region.
(Meta-)genome screening for functional and natural product gene sequences
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