Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning

Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning

In this work, we improved a previous model used for the prediction of proteomes as new B-cell epitopes in vaccine design. The predicted epitope activity of a queried peptide is based on its sequence, a known reference epitope sequence under specific experimental conditions. The peptide sequences wer...

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Bibliographic Details
Main Authors: Cristian R. Munteanu, Marcos Gestal, Yunuen G. Martínez-Acevedo, Nieves Pedreira, Alejandro Pazos, Julián Dorado
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:International Journal of Molecular Sciences
Subjects:
epitopes
machine learning
protein sequences
qualitative structure–activity relationships
Online Access:https://www.mdpi.com/1422-0067/20/18/4362

Internet

https://www.mdpi.com/1422-0067/20/18/4362

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