Artificial intelligence in COVID-19 drug repurposing

Drug repurposing or repositioning is a technique whereby existing drugs are used to treat emerging and challenging diseases, including COVID-19. Drug repurposing has become a promising approach because of the opportunity for reduced development timelines and overall costs. In the big data era, artif...

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Autores:
Tipo de recurso:
Article of investigation
Fecha de publicación:
2020
Institución:
Universidad de Bogotá Jorge Tadeo Lozano
Repositorio:
Expeditio: repositorio UTadeo
Idioma:
eng
OAI Identifier:
oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/13920
Acceso en línea:
https://doi.org/10.1016/
http://hdl.handle.net/20.500.12010/13920
Palabra clave:
COVID-19
Artificial intelligence
Drug repurposing
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
Rights
License
Abierto (Texto Completo)
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dc.title.spa.fl_str_mv Artificial intelligence in COVID-19 drug repurposing
title Artificial intelligence in COVID-19 drug repurposing
spellingShingle Artificial intelligence in COVID-19 drug repurposing
COVID-19
Artificial intelligence
Drug repurposing
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
title_short Artificial intelligence in COVID-19 drug repurposing
title_full Artificial intelligence in COVID-19 drug repurposing
title_fullStr Artificial intelligence in COVID-19 drug repurposing
title_full_unstemmed Artificial intelligence in COVID-19 drug repurposing
title_sort Artificial intelligence in COVID-19 drug repurposing
dc.subject.spa.fl_str_mv COVID-19
Artificial intelligence
Drug repurposing
topic COVID-19
Artificial intelligence
Drug repurposing
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
dc.subject.lemb.spa.fl_str_mv Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
description Drug repurposing or repositioning is a technique whereby existing drugs are used to treat emerging and challenging diseases, including COVID-19. Drug repurposing has become a promising approach because of the opportunity for reduced development timelines and overall costs. In the big data era, artificial intelligence (AI) and network medicine offer cutting-edge application of information science to defining disease, medicine, therapeutics, and identifying targets with the least error. In this Review, we introduce guidelines on how to use AI for accelerating drug repurposing or repositioning, for which AI approaches are not just formidable but are also necessary. We discuss how to use AI models in precision medicine, and as an example, how AI models can accelerate COVID-19 drug repurposing. Rapidly developing, powerful, and innovative AI and network medicine technologies can expedite therapeutic development. This Review provides a strong rationale for using AI-based assistive tools for drug repurposing medications for human disease, including during the COVID-19 pandemic.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2020-09-28T17:28:11Z
dc.date.available.none.fl_str_mv 2020-09-28T17:28:11Z
dc.date.created.none.fl_str_mv 2020
dc.type.local.spa.fl_str_mv Artículo
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
format http://purl.org/coar/resource_type/c_2df8fbb1
dc.identifier.issn.spa.fl_str_mv 2589-7500
dc.identifier.other.spa.fl_str_mv https://doi.org/10.1016/
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12010/13920
dc.identifier.doi.spa.fl_str_mv https://doi.org/10.1016/
identifier_str_mv 2589-7500
url https://doi.org/10.1016/
http://hdl.handle.net/20.500.12010/13920
dc.language.iso.spa.fl_str_mv eng
language eng
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.local.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
dc.format.extent.spa.fl_str_mv 10 páginas
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv The Lancet
dc.source.spa.fl_str_mv reponame:Expeditio Repositorio Institucional UJTL
instname:Universidad de Bogotá Jorge Tadeo Lozano
instname_str Universidad de Bogotá Jorge Tadeo Lozano
institution Universidad de Bogotá Jorge Tadeo Lozano
reponame_str Expeditio Repositorio Institucional UJTL
collection Expeditio Repositorio Institucional UJTL
bitstream.url.fl_str_mv https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/13920/2/license.txt
https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/13920/3/Artificial-intelligence-in-COVID-19-drug-repurpo_2020_The-Lancet-Digital-Hea.pdf.jpg
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spelling 2020-09-28T17:28:11Z2020-09-28T17:28:11Z20202589-7500https://doi.org/10.1016/http://hdl.handle.net/20.500.12010/13920https://doi.org/10.1016/Drug repurposing or repositioning is a technique whereby existing drugs are used to treat emerging and challenging diseases, including COVID-19. Drug repurposing has become a promising approach because of the opportunity for reduced development timelines and overall costs. In the big data era, artificial intelligence (AI) and network medicine offer cutting-edge application of information science to defining disease, medicine, therapeutics, and identifying targets with the least error. In this Review, we introduce guidelines on how to use AI for accelerating drug repurposing or repositioning, for which AI approaches are not just formidable but are also necessary. We discuss how to use AI models in precision medicine, and as an example, how AI models can accelerate COVID-19 drug repurposing. Rapidly developing, powerful, and innovative AI and network medicine technologies can expedite therapeutic development. This Review provides a strong rationale for using AI-based assistive tools for drug repurposing medications for human disease, including during the COVID-19 pandemic.10 páginasapplication/pdfengThe Lancetreponame:Expeditio Repositorio Institucional UJTLinstname:Universidad de Bogotá Jorge Tadeo LozanoCOVID-19Artificial intelligenceDrug repurposingSíndrome respiratorio agudo graveCOVID-19SARS-CoV-2CoronavirusArtificial intelligence in COVID-19 drug repurposingArtículohttp://purl.org/coar/resource_type/c_2df8fbb1Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2Zhou, YadiWang, FeiTang, JianNussinov, RuthCheng, FeixiongLICENSElicense.txtlicense.txttext/plain; charset=utf-82938https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/13920/2/license.txtabceeb1c943c50d3343516f9dbfc110fMD52open accessTHUMBNAILArtificial-intelligence-in-COVID-19-drug-repurpo_2020_The-Lancet-Digital-Hea.pdf.jpgArtificial-intelligence-in-COVID-19-drug-repurpo_2020_The-Lancet-Digital-Hea.pdf.jpgIM Thumbnailimage/jpeg25435https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/13920/3/Artificial-intelligence-in-COVID-19-drug-repurpo_2020_The-Lancet-Digital-Hea.pdf.jpg151138246b3875982891a1bffb8cef5fMD53open access20.500.12010/13920oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/139202021-03-17 20:07:50.57metadata only accessRepositorio Institucional - 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