Allergenicity assessment of novel food proteins: What should be improved?

Allergenicity prediction is one of the most challenging aspects in the safety assessment of foods derived from either biotechnology or novel food proteins. Here we present a bottom-up strategy that defines a priori the specific risk assessment (RA) needs based on a database appropriately built for s...

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Detalles Bibliográficos
Autores: Fernández-Dumont, Antonio, Mills, Clare, Koning, Frits, Moreno, F. Javier
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/219988
Acceso en línea:http://hdl.handle.net/10261/219988
Access Level:acceso abierto
Palabra clave:Allergenicity assessment
Novel food protein
Celiac disease
Biotechnology
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spelling Allergenicity assessment of novel food proteins: What should be improved?Fernández-Dumont, AntonioMills, ClareKoning, FritsMoreno, F. JavierAllergenicity assessmentNovel food proteinCeliac diseaseBiotechnologyAllergenicity prediction is one of the most challenging aspects in the safety assessment of foods derived from either biotechnology or novel food proteins. Here we present a bottom-up strategy that defines a priori the specific risk assessment (RA) needs based on a database appropriately built for such purposes.Peer reviewedElsevierConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202020202020info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/219988reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.1016/j.tibtech.2020.05.011Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2199882026-05-22T06:33:51Z
dc.title.none.fl_str_mv Allergenicity assessment of novel food proteins: What should be improved?
title Allergenicity assessment of novel food proteins: What should be improved?
spellingShingle Allergenicity assessment of novel food proteins: What should be improved?
Fernández-Dumont, Antonio
Allergenicity assessment
Novel food protein
Celiac disease
Biotechnology
title_short Allergenicity assessment of novel food proteins: What should be improved?
title_full Allergenicity assessment of novel food proteins: What should be improved?
title_fullStr Allergenicity assessment of novel food proteins: What should be improved?
title_full_unstemmed Allergenicity assessment of novel food proteins: What should be improved?
title_sort Allergenicity assessment of novel food proteins: What should be improved?
dc.creator.none.fl_str_mv Fernández-Dumont, Antonio
Mills, Clare
Koning, Frits
Moreno, F. Javier
author Fernández-Dumont, Antonio
author_facet Fernández-Dumont, Antonio
Mills, Clare
Koning, Frits
Moreno, F. Javier
author_role author
author2 Mills, Clare
Koning, Frits
Moreno, F. Javier
author2_role author
author
author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Allergenicity assessment
Novel food protein
Celiac disease
Biotechnology
topic Allergenicity assessment
Novel food protein
Celiac disease
Biotechnology
description Allergenicity prediction is one of the most challenging aspects in the safety assessment of foods derived from either biotechnology or novel food proteins. Here we present a bottom-up strategy that defines a priori the specific risk assessment (RA) needs based on a database appropriately built for such purposes.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/219988
url http://hdl.handle.net/10261/219988
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.1016/j.tibtech.2020.05.011
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.811543

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