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

Shraddha M. Dalwadi; Andrew Hunt; Mark D. Bonnen; Yohannes T. Ghebre

doi:10.3389/fonc.2023.1198284

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

Shraddha M. Dalwadi, Andrew Hunt, Mark D. Bonnen, Yohannes T. Ghebre

Department of Radiation Oncology

Research output: Contribution to journal › Short survey › peer-review

7 Scopus citations

Abstract

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.

Original language	English (US)
Article number	1198284
Journal	Frontiers in Oncology
Volume	13
DOIs	https://doi.org/10.3389/fonc.2023.1198284
State	Published - 2023

Keywords

clinical trials
drug repurposing
informatics
oncology
pharmacology

ASJC Scopus subject areas

Oncology
Cancer Research

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10.3389/fonc.2023.1198284

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title = "Computational approaches for drug repurposing in oncology: untapped opportunity for high value innovation",

abstract = "Historically, the effort by academia and industry to develop new chemical entities into lifesaving drugs has limited success in meeting the demands of today{\textquoteright}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.",

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author = "Dalwadi, {Shraddha M.} and Andrew Hunt and Bonnen, {Mark D.} and Ghebre, {Yohannes T.}",

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year = "2023",

doi = "10.3389/fonc.2023.1198284",

language = "English (US)",

volume = "13",

journal = "Frontiers in Oncology",

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AU - Dalwadi, Shraddha M.

AU - Hunt, Andrew

AU - Bonnen, Mark D.

AU - Ghebre, Yohannes T.

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - clinical trials

KW - drug repurposing

KW - informatics

KW - oncology

KW - pharmacology

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M3 - Short survey

C2 - 37274281

AN - SCOPUS:85161040929

SN - 2234-943X

VL - 13

JO - Frontiers in Oncology

JF - Frontiers in Oncology

M1 - 1198284

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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