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eNERVE is a dynamic, high-throughput and standalone in silico reverse vaccinology pipeline for eukaryotic protein candidate vaccines (PVCs) discovery from entire proteomes (FASTA file).
NERVE is an user-friendly software environment for the in silico identification of the best vaccine candidates from whole proteomes of bacterial pathogens. The purpose of this project is to update it, implementing new modules with machine learning based methods, and improving the performance of the already implemented ones.
Model that computes the probability of a protein to be a virulence factor.
NERVE is an user-friendly software environment for the in silico identification of the best vaccine candidates from whole proteomes of bacterial pathogens. The purpose of this project is to update it, implementing new modules with machine learning based methods, and improving the performance of the already implemented ones.
Model that computes the probability of a protein to be an adhesin. The best predictor you will find for protein sequences ;)