Immunopeptidomic Data Integration to Artificial Neural Networks Enhances Protein-Drug Immunogenicity Prediction

Immunopeptidomic Data Integration to Artificial Neural Networks Enhances Protein-Drug Immunogenicity Prediction

Recombinant DNA technology has, in the last decades, contributed to a vast expansion of the use of protein drugs as pharmaceutical agents. However, such biological drugs can lead to the formation of anti-drug antibodies (ADAs) that may result in adverse effects, including allergic reactions and comp...

Full description

Bibliographic Details
Main Authors: Carolina Barra, Chloe Ackaert, Birkir Reynisson, Jana Schockaert, Leon Eyrich Jessen, Mark Watson, Anne Jang, Simon Comtois-Marotte, Jean-Philippe Goulet, Sofie Pattijn, Eustache Paramithiotis, Morten Nielsen
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Immunology
Subjects:
MHC-II prediction
machine-learning
protein-drug immunogenicity
artificial neural-networks
immunopeptidomics
bioinformatics
Online Access:https://www.frontiersin.org/article/10.3389/fimmu.2020.01304/full

Internet

https://www.frontiersin.org/article/10.3389/fimmu.2020.01304/full

Similar Items