Continuous-flow photochemistry as an automated platform integrated with closed-loop AI/ML approaches

Autores
Pijper, Brenda; Alcázar, Jesus; Oksdath Mansilla, Gabriela; Bisogno, Fabricio Román
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this Activity article, Brenda Pijper (Horizon 2020 PhotoReAct early-stage researcher in the Chemical Technologies group at Janssen, the Pharmaceutical Companies of Johnson & Johnson) and Jesus Alcázar (head of the Chemical Technologies group at Janssen) and Gabriela Oksdath-Mansilla and Fabricio R. Bisogno (both professors at the Universidad Nacional de Córdoba and researchers at the National Scientific and Technical Research Council of Argentina [CONICET]) discuss the current state of continuous-flow photochemistry in drug discovery and its future as an automated platform integrated with closed-loop artificial intelligence and machine learning (AI/ML) approaches.
Fil: Pijper, Brenda. No especifíca;
Fil: Alcázar, Jesus. No especifíca;
Fil: Oksdath Mansilla, Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Físico-química de Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Instituto de Investigaciones en Físico-química de Córdoba; Argentina
Fil: Bisogno, Fabricio Román. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Físico-química de Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Instituto de Investigaciones en Físico-química de Córdoba; Argentina
Materia
AUTOMATED SYSTEMS
ARTIFICIAL INTELLIGENCE
MACHINE LEARNING
FLOW PHOTOCHEMISTRY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/226749
Acceder
id CONICETDig_3ce13d3a4051a59ff739516ce5125676
oai_identifier_str oai:ri.conicet.gov.ar:11336/226749
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Continuous-flow photochemistry as an automated platform integrated with closed-loop AI/ML approachesPijper, BrendaAlcázar, JesusOksdath Mansilla, GabrielaBisogno, Fabricio RománAUTOMATED SYSTEMSARTIFICIAL INTELLIGENCEMACHINE LEARNINGFLOW PHOTOCHEMISTRYhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1In this Activity article, Brenda Pijper (Horizon 2020 PhotoReAct early-stage researcher in the Chemical Technologies group at Janssen, the Pharmaceutical Companies of Johnson & Johnson) and Jesus Alcázar (head of the Chemical Technologies group at Janssen) and Gabriela Oksdath-Mansilla and Fabricio R. Bisogno (both professors at the Universidad Nacional de Córdoba and researchers at the National Scientific and Technical Research Council of Argentina [CONICET]) discuss the current state of continuous-flow photochemistry in drug discovery and its future as an automated platform integrated with closed-loop artificial intelligence and machine learning (AI/ML) approaches.Fil: Pijper, Brenda. No especifíca;Fil: Alcázar, Jesus. No especifíca;Fil: Oksdath Mansilla, Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Físico-química de Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Instituto de Investigaciones en Físico-química de Córdoba; ArgentinaFil: Bisogno, Fabricio Román. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Físico-química de Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Instituto de Investigaciones en Físico-química de Córdoba; ArgentinaCell Press2023-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/226749Pijper, Brenda; Alcázar, Jesus; Oksdath Mansilla, Gabriela; Bisogno, Fabricio Román; Continuous-flow photochemistry as an automated platform integrated with closed-loop AI/ML approaches; Cell Press; Chem Catalysis; 3; 1; 1-2023; 1-32667-11072667-1093CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.checat.2022.100488info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:53:09Zoai:ri.conicet.gov.ar:11336/226749instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:53:09.758CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Continuous-flow photochemistry as an automated platform integrated with closed-loop AI/ML approaches
title Continuous-flow photochemistry as an automated platform integrated with closed-loop AI/ML approaches
spellingShingle Continuous-flow photochemistry as an automated platform integrated with closed-loop AI/ML approaches
Pijper, Brenda
AUTOMATED SYSTEMS
ARTIFICIAL INTELLIGENCE
MACHINE LEARNING
FLOW PHOTOCHEMISTRY
title_short Continuous-flow photochemistry as an automated platform integrated with closed-loop AI/ML approaches
title_full Continuous-flow photochemistry as an automated platform integrated with closed-loop AI/ML approaches
title_fullStr Continuous-flow photochemistry as an automated platform integrated with closed-loop AI/ML approaches
title_full_unstemmed Continuous-flow photochemistry as an automated platform integrated with closed-loop AI/ML approaches
title_sort Continuous-flow photochemistry as an automated platform integrated with closed-loop AI/ML approaches
dc.creator.none.fl_str_mv Pijper, Brenda
Alcázar, Jesus
Oksdath Mansilla, Gabriela
Bisogno, Fabricio Román
author Pijper, Brenda
author_facet Pijper, Brenda
Alcázar, Jesus
Oksdath Mansilla, Gabriela
Bisogno, Fabricio Román
author_role author
author2 Alcázar, Jesus
Oksdath Mansilla, Gabriela
Bisogno, Fabricio Román
author2_role author
author
author
dc.subject.none.fl_str_mv AUTOMATED SYSTEMS
ARTIFICIAL INTELLIGENCE
MACHINE LEARNING
FLOW PHOTOCHEMISTRY
topic AUTOMATED SYSTEMS
ARTIFICIAL INTELLIGENCE
MACHINE LEARNING
FLOW PHOTOCHEMISTRY
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In this Activity article, Brenda Pijper (Horizon 2020 PhotoReAct early-stage researcher in the Chemical Technologies group at Janssen, the Pharmaceutical Companies of Johnson & Johnson) and Jesus Alcázar (head of the Chemical Technologies group at Janssen) and Gabriela Oksdath-Mansilla and Fabricio R. Bisogno (both professors at the Universidad Nacional de Córdoba and researchers at the National Scientific and Technical Research Council of Argentina [CONICET]) discuss the current state of continuous-flow photochemistry in drug discovery and its future as an automated platform integrated with closed-loop artificial intelligence and machine learning (AI/ML) approaches.
Fil: Pijper, Brenda. No especifíca;
Fil: Alcázar, Jesus. No especifíca;
Fil: Oksdath Mansilla, Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Físico-química de Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Instituto de Investigaciones en Físico-química de Córdoba; Argentina
Fil: Bisogno, Fabricio Román. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Físico-química de Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Instituto de Investigaciones en Físico-química de Córdoba; Argentina
description In this Activity article, Brenda Pijper (Horizon 2020 PhotoReAct early-stage researcher in the Chemical Technologies group at Janssen, the Pharmaceutical Companies of Johnson & Johnson) and Jesus Alcázar (head of the Chemical Technologies group at Janssen) and Gabriela Oksdath-Mansilla and Fabricio R. Bisogno (both professors at the Universidad Nacional de Córdoba and researchers at the National Scientific and Technical Research Council of Argentina [CONICET]) discuss the current state of continuous-flow photochemistry in drug discovery and its future as an automated platform integrated with closed-loop artificial intelligence and machine learning (AI/ML) approaches.
publishDate 2023
dc.date.none.fl_str_mv 2023-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/226749
Pijper, Brenda; Alcázar, Jesus; Oksdath Mansilla, Gabriela; Bisogno, Fabricio Román; Continuous-flow photochemistry as an automated platform integrated with closed-loop AI/ML approaches; Cell Press; Chem Catalysis; 3; 1; 1-2023; 1-3
2667-1107
2667-1093
CONICET Digital
CONICET
url http://hdl.handle.net/11336/226749
identifier_str_mv Pijper, Brenda; Alcázar, Jesus; Oksdath Mansilla, Gabriela; Bisogno, Fabricio Román; Continuous-flow photochemistry as an automated platform integrated with closed-loop AI/ML approaches; Cell Press; Chem Catalysis; 3; 1; 1-2023; 1-3
2667-1107
2667-1093
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.checat.2022.100488
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Cell Press
publisher.none.fl_str_mv Cell Press
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842269205003501568
score 13.13397

Publicaciones similares