Computational approaches for drug repurposing in oncology: untapped opportunity for high value innovation

Historically, the effort by academia and industry to develop new chemical entities into lifesaving drugs has limited success in meeting the demands of today’s healthcare. Repurposing drugs that are originally approved by the United States Food and Drug Administration or by regulatory authorities aro...

Descripción completa

Detalles Bibliográficos
Autores principales: Dalwadi, Shraddha M., Hunt, Andrew, Bonnen, Mark D., Ghebre, Yohannes T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233043/
https://www.ncbi.nlm.nih.gov/pubmed/37274281
http://dx.doi.org/10.3389/fonc.2023.1198284
_version_ 1785052144988061696
author Dalwadi, Shraddha M.
Hunt, Andrew
Bonnen, Mark D.
Ghebre, Yohannes T.
author_facet Dalwadi, Shraddha M.
Hunt, Andrew
Bonnen, Mark D.
Ghebre, Yohannes T.
author_sort Dalwadi, Shraddha M.
collection PubMed
description Historically, the effort by academia and industry to develop new chemical entities into lifesaving drugs has limited success in meeting the demands of today’s healthcare. Repurposing drugs that are originally approved by the United States Food and Drug Administration or by regulatory authorities around the globe is an attractive strategy to rapidly develop much-needed therapeutics for oncologic indications that extend from treating cancer to managing treatment-related complications. This review discusses computational approaches to harness existing drugs for new therapeutic use in oncology.
format Online
Article
Text
id pubmed-10233043
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-102330432023-06-02 Computational approaches for drug repurposing in oncology: untapped opportunity for high value innovation Dalwadi, Shraddha M. Hunt, Andrew Bonnen, Mark D. Ghebre, Yohannes T. Front Oncol Oncology Historically, the effort by academia and industry to develop new chemical entities into lifesaving drugs has limited success in meeting the demands of today’s healthcare. Repurposing drugs that are originally approved by the United States Food and Drug Administration or by regulatory authorities around the globe is an attractive strategy to rapidly develop much-needed therapeutics for oncologic indications that extend from treating cancer to managing treatment-related complications. This review discusses computational approaches to harness existing drugs for new therapeutic use in oncology. Frontiers Media S.A. 2023-05-18 /pmc/articles/PMC10233043/ /pubmed/37274281 http://dx.doi.org/10.3389/fonc.2023.1198284 Text en Copyright © 2023 Dalwadi, Hunt, Bonnen and Ghebre https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Dalwadi, Shraddha M.
Hunt, Andrew
Bonnen, Mark D.
Ghebre, Yohannes T.
Computational approaches for drug repurposing in oncology: untapped opportunity for high value innovation
title Computational approaches for drug repurposing in oncology: untapped opportunity for high value innovation
title_full Computational approaches for drug repurposing in oncology: untapped opportunity for high value innovation
title_fullStr Computational approaches for drug repurposing in oncology: untapped opportunity for high value innovation
title_full_unstemmed Computational approaches for drug repurposing in oncology: untapped opportunity for high value innovation
title_short Computational approaches for drug repurposing in oncology: untapped opportunity for high value innovation
title_sort computational approaches for drug repurposing in oncology: untapped opportunity for high value innovation
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233043/
https://www.ncbi.nlm.nih.gov/pubmed/37274281
http://dx.doi.org/10.3389/fonc.2023.1198284
work_keys_str_mv AT dalwadishraddham computationalapproachesfordrugrepurposinginoncologyuntappedopportunityforhighvalueinnovation
AT huntandrew computationalapproachesfordrugrepurposinginoncologyuntappedopportunityforhighvalueinnovation
AT bonnenmarkd computationalapproachesfordrugrepurposinginoncologyuntappedopportunityforhighvalueinnovation
AT ghebreyohannest computationalapproachesfordrugrepurposinginoncologyuntappedopportunityforhighvalueinnovation

Ejemplares similares