How Can Network-Pharmacology Contribute to Antiepileptic Drug Development?

Autores
Di Ianni, Mauricio Emiliano; Talevi, Alan
Año de publicación
2014
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Network-pharmacology is a field of pharmacology emerging from the observation that most clinical drugs have multiple targets, contrasting with the previously dominant magic bullet paradigm which proposed the search of exquisitely selective drugs. What is more, drug targets are often involved in multiple diseases and frequently present co-expression patterns. Therefore, useful therapeutic information can be drawn from network representations of drug targets. Here, we discuss potential applications of drug-target networks in the field of antiepileptic drug development.
Fil: Di Ianni, Mauricio Emiliano. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Departamento de Ciencias Biológicas. Cátedra de Química Medicinal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
Fil: Talevi, Alan. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Departamento de Ciencias Biológicas. Cátedra de Química Medicinal; Argentina
Materia
DRUG-PROTEIN NETWORKS
NETWORK ANALYSIS
EPILEPSY
DRUG REPOSITIONING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/31186
Acceder
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network_name_str CONICET Digital (CONICET)
spelling How Can Network-Pharmacology Contribute to Antiepileptic Drug Development?Di Ianni, Mauricio EmilianoTalevi, AlanDRUG-PROTEIN NETWORKSNETWORK ANALYSISEPILEPSYDRUG REPOSITIONINGhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Network-pharmacology is a field of pharmacology emerging from the observation that most clinical drugs have multiple targets, contrasting with the previously dominant magic bullet paradigm which proposed the search of exquisitely selective drugs. What is more, drug targets are often involved in multiple diseases and frequently present co-expression patterns. Therefore, useful therapeutic information can be drawn from network representations of drug targets. Here, we discuss potential applications of drug-target networks in the field of antiepileptic drug development.Fil: Di Ianni, Mauricio Emiliano. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Departamento de Ciencias Biológicas. Cátedra de Química Medicinal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; ArgentinaFil: Talevi, Alan. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Departamento de Ciencias Biológicas. Cátedra de Química Medicinal; ArgentinaSmart Science & Technology2014-02info: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/11336/31186Di Ianni, Mauricio Emiliano; Talevi, Alan; How Can Network-Pharmacology Contribute to Antiepileptic Drug Development?; Smart Science & Technology; Molecular and Cellular Epilepsy; 1; 2-2014; 21-282330-3883CONICET DigitalCONICETspainfo:eu-repo/semantics/altIdentifier/url/http://www.smartscitech.com/index.php/MCE/article/view/30info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T12:59:50Zoai:ri.conicet.gov.ar:11336/31186instacron: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:34982025-09-10 12:59:51.087CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv How Can Network-Pharmacology Contribute to Antiepileptic Drug Development?
title How Can Network-Pharmacology Contribute to Antiepileptic Drug Development?
spellingShingle How Can Network-Pharmacology Contribute to Antiepileptic Drug Development?
Di Ianni, Mauricio Emiliano
DRUG-PROTEIN NETWORKS
NETWORK ANALYSIS
EPILEPSY
DRUG REPOSITIONING
title_short How Can Network-Pharmacology Contribute to Antiepileptic Drug Development?
title_full How Can Network-Pharmacology Contribute to Antiepileptic Drug Development?
title_fullStr How Can Network-Pharmacology Contribute to Antiepileptic Drug Development?
title_full_unstemmed How Can Network-Pharmacology Contribute to Antiepileptic Drug Development?
title_sort How Can Network-Pharmacology Contribute to Antiepileptic Drug Development?
dc.creator.none.fl_str_mv Di Ianni, Mauricio Emiliano
Talevi, Alan
author Di Ianni, Mauricio Emiliano
author_facet Di Ianni, Mauricio Emiliano
Talevi, Alan
author_role author
author2 Talevi, Alan
author2_role author
dc.subject.none.fl_str_mv DRUG-PROTEIN NETWORKS
NETWORK ANALYSIS
EPILEPSY
DRUG REPOSITIONING
topic DRUG-PROTEIN NETWORKS
NETWORK ANALYSIS
EPILEPSY
DRUG REPOSITIONING
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Network-pharmacology is a field of pharmacology emerging from the observation that most clinical drugs have multiple targets, contrasting with the previously dominant magic bullet paradigm which proposed the search of exquisitely selective drugs. What is more, drug targets are often involved in multiple diseases and frequently present co-expression patterns. Therefore, useful therapeutic information can be drawn from network representations of drug targets. Here, we discuss potential applications of drug-target networks in the field of antiepileptic drug development.
Fil: Di Ianni, Mauricio Emiliano. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Departamento de Ciencias Biológicas. Cátedra de Química Medicinal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
Fil: Talevi, Alan. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Departamento de Ciencias Biológicas. Cátedra de Química Medicinal; Argentina
description Network-pharmacology is a field of pharmacology emerging from the observation that most clinical drugs have multiple targets, contrasting with the previously dominant magic bullet paradigm which proposed the search of exquisitely selective drugs. What is more, drug targets are often involved in multiple diseases and frequently present co-expression patterns. Therefore, useful therapeutic information can be drawn from network representations of drug targets. Here, we discuss potential applications of drug-target networks in the field of antiepileptic drug development.
publishDate 2014
dc.date.none.fl_str_mv 2014-02
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/11336/31186
Di Ianni, Mauricio Emiliano; Talevi, Alan; How Can Network-Pharmacology Contribute to Antiepileptic Drug Development?; Smart Science & Technology; Molecular and Cellular Epilepsy; 1; 2-2014; 21-28
2330-3883
CONICET Digital
CONICET
url http://hdl.handle.net/11336/31186
identifier_str_mv Di Ianni, Mauricio Emiliano; Talevi, Alan; How Can Network-Pharmacology Contribute to Antiepileptic Drug Development?; Smart Science & Technology; Molecular and Cellular Epilepsy; 1; 2-2014; 21-28
2330-3883
CONICET Digital
CONICET
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.smartscitech.com/index.php/MCE/article/view/30
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Smart Science & Technology
publisher.none.fl_str_mv Smart Science & Technology
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
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score 12.48226

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