Autor(es):
Sequeira, Ana ; Lousa, Diana ; Rocha, Miguel
Data: 2021
Identificador Persistente: https://hdl.handle.net/1822/74506
Origem: RepositóriUM - Universidade do Minho
Assunto(s): Bioinformatics; Ontologies; Cancer; Machine learning; Protein/Peptide classification; Python package
Descrição
A challenging problem in Bioinformatics is to predict protein structure, properties, activities or interactions from their aminoacid sequences. Sequence-derived physicochemical features of proteins have been used to support the development of Machine Learning (ML) models. However, tools and platforms to calculate features from protein sequences and train ML models are scarce and have limitations in terms of performance, user-friendliness and domains of application.