EpitopeVec
Description
EpitopeVec predicts linear B-cell epitopes. It takes protein sequences (FASTA format) as input and then lists the peptides (of a given amino acid length) that can be epitopes along with their respective prediction probability. It is based on a SVM model trained on a large set of experimentally verified epitopes and makes use of different amino acid features, amino acid pair propensity scale, amino acid trimer propensity scale, and distributed vector representation of proteins (ProtVec).
Type
Software
Subtypes
Evaluation Tool
Focuses
Generally applicable
Topics
Data analysis
Contacts
Prof. Dr. Alice McHardy
Helmholtz Centre for Infection Research
Deputy Coordinator Bioinformatics and Machine Learning
User groups / addressees
Scientists
keywords
Analyses
Preview image
File type
python
License
GPL3