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dc.contributor.author
Barra, Carolina
dc.contributor.author
Ackaert, Chloe
dc.contributor.author
Reynisson, Birkir
dc.contributor.author
Schockaert, Jana
dc.contributor.author
Jessen, Leon Eyrich
dc.contributor.author
Watson, Mark
dc.contributor.author
Jang, Anne
dc.contributor.author
Comtois Marotte, Simon
dc.contributor.author
Goulet, Jean Philippe
dc.contributor.author
Pattijn, Sofie
dc.contributor.author
Paramithiotis, Eustache
dc.contributor.author
Nielsen, Morten
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dc.date.available
2021-09-20T12:11:47Z
dc.date.issued
2020-06
dc.identifier.citation
Barra, Carolina; Ackaert, Chloe; Reynisson, Birkir; Schockaert, Jana; Jessen, Leon Eyrich; et al.; Immunopeptidomic Data Integration to Artificial Neural Networks Enhances Protein-Drug Immunogenicity Prediction; Frontiers Media S.A.; Frontiers in Immunology; 11; 6-2020; 1-13
dc.identifier.issn
1664-3224
dc.identifier.uri
http://hdl.handle.net/11336/140815
dc.description.abstract
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 compromised therapeutic efficacy. Production of ADAs is most often associated with activation of CD4 T cell responses resulting from proteolysis of the biotherapeutic and loading of drug-specific peptides into major histocompatibility complex (MHC) class II on professional antigen-presenting cells. Recently, readouts from MHC-associated peptide proteomics (MAPPs) assays have been shown to correlate with the presence of CD4 T cell epitopes. However, the limited sensitivity of MAPPs challenges its use as an immunogenicity biomarker. In this work, MAPPs data was used to construct an artificial neural network (ANN) model for MHC class II antigen presentation. Using Infliximab and Rituximab as showcase stories, the model demonstrated an unprecedented performance for predicting MAPPs and CD4 T cell epitopes in the context of protein-drug immunogenicity, complementing results from MAPPs assays and outperforming conventional prediction models trained on binding affinity data.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Frontiers Media S.A.
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
ARTIFICIAL NEURAL-NETWORKS
dc.subject
BIOINFORMATICS
dc.subject
IMMUNOPEPTIDOMICS
dc.subject
MACHINE-LEARNING
dc.subject
MHC-II PREDICTION
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PROTEIN-DRUG IMMUNOGENICITY
dc.subject.classification
Otras Ciencias de la Salud
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dc.subject.classification
Ciencias de la Salud
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dc.subject.classification
CIENCIAS MÉDICAS Y DE LA SALUD
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dc.title
Immunopeptidomic Data Integration to Artificial Neural Networks Enhances Protein-Drug Immunogenicity Prediction
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2021-08-25T19:43:36Z
dc.journal.volume
11
dc.journal.pagination
1-13
dc.journal.pais
Estados Unidos
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dc.description.fil
Fil: Barra, Carolina. Technical University of Denmark; Dinamarca
dc.description.fil
Fil: Ackaert, Chloe. No especifíca;
dc.description.fil
Fil: Reynisson, Birkir. Technical University of Denmark; Dinamarca
dc.description.fil
Fil: Schockaert, Jana. No especifíca;
dc.description.fil
Fil: Jessen, Leon Eyrich. Technical University of Denmark; Dinamarca
dc.description.fil
Fil: Watson, Mark. No especifíca;
dc.description.fil
Fil: Jang, Anne. No especifíca;
dc.description.fil
Fil: Comtois Marotte, Simon. No especifíca;
dc.description.fil
Fil: Goulet, Jean Philippe. No especifíca;
dc.description.fil
Fil: Pattijn, Sofie. No especifíca;
dc.description.fil
Fil: Paramithiotis, Eustache. No especifíca;
dc.description.fil
Fil: Nielsen, Morten. Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Biotecnológicas; Argentina
dc.journal.title
Frontiers in Immunology
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/article/10.3389/fimmu.2020.01304/full
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3389/fimmu.2020.01304
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