Role of Drug Repurposing in Sustainable Drug Discovery

The contemporary global drug discovery scenario, in spite of several technological advances, is heavily ridden with multiple challenges of a dynamic regulatory system, escalating costs from bench to bedside investigational drugs, the increased probability of withdrawal after launch, and over-stretch...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autor principal: Bhar, Shanta
Formato: Capítulo de libro
Lenguaje:inglés
Publicado: IntechOpen 2023
Materias:
Acceso en línea:https://www.intechopen.com/chapters/86607
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1879164813974700032
author Bhar, Shanta
author_browse Bhar, Shanta
author_facet Bhar, Shanta
author_sort Bhar, Shanta
building IntechOpen
collection Acceso abierto
description The contemporary global drug discovery scenario, in spite of several technological advances, is heavily ridden with multiple challenges of a dynamic regulatory system, escalating costs from bench to bedside investigational drugs, the increased probability of withdrawal after launch, and over-stretched timelines from discovery to approval, among others. Drug repurposing/repositioning/re-profiling/re-tasking is an effective and practical complimentary method for the selection of alternate therapies for approved, shelved, discontinued/abandoned, and investigational drugs or new chemical entities, with the parallel study of new metabolic pathways and/or protein targets. Such an approach encompasses multipronged benefits of redundant preclinical testing, toxicity evaluation, and formulation studies, based largely on serendipity. In recent years, approaches have been driven by artificial intelligence (AI) and machine learning, and bioinformatics have opened up new vistas in drug re-profiling acceleration. Increasing protocols to club the shared mechanisms among structurally diverse/dissimilar drugs include pathway analysis, phenotypic screening, signature matching, related disease genes, binding assay studies, molecular docking, and clinical data monitoring. All in all, repositioning of abandoned/investigational/existing drugs or new chemical entities for other therapeutic indications could enhance the overall productivity of the pharmaceutical industry while paradigmatically shifting the focus from new drug discovery to the optimization of available resources.
doi_str_mv 10.5772/intechopen.110621
first_indexed 2026-10-15T21:40:18Z
format Book Chapter
fullrecord <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><identifier>intech-86607</identifier><datestamp>2023-03-23</datestamp> <dc:title>Role of Drug Repurposing in Sustainable Drug Discovery</dc:title> <dc:creator>Shanta Bhar</dc:creator> <dc:subject>Health Sciences</dc:subject> <dc:description>The contemporary global drug discovery scenario, in spite of several technological advances, is heavily ridden with multiple challenges of a dynamic regulatory system, escalating costs from bench to bedside investigational drugs, the increased probability of withdrawal after launch, and over-stretched timelines from discovery to approval, among others. Drug repurposing/repositioning/re-profiling/re-tasking is an effective and practical complimentary method for the selection of alternate therapies for approved, shelved, discontinued/abandoned, and investigational drugs or new chemical entities, with the parallel study of new metabolic pathways and/or protein targets. Such an approach encompasses multipronged benefits of redundant preclinical testing, toxicity evaluation, and formulation studies, based largely on serendipity. In recent years, approaches have been driven by artificial intelligence (AI) and machine learning, and bioinformatics have opened up new vistas in drug re-profiling acceleration. Increasing protocols to club the shared mechanisms among structurally diverse/dissimilar drugs include pathway analysis, phenotypic screening, signature matching, related disease genes, binding assay studies, molecular docking, and clinical data monitoring. All in all, repositioning of abandoned/investigational/existing drugs or new chemical entities for other therapeutic indications could enhance the overall productivity of the pharmaceutical industry while paradigmatically shifting the focus from new drug discovery to the optimization of available resources.</dc:description> <dc:publisher>IntechOpen</dc:publisher> <dc:date>2023-03-23</dc:date> <dc:type>Chapter, Part Of Book</dc:type> <dc:identifier>https://www.intechopen.com/chapters/86607</dc:identifier> <dc:identifier>doi:10.5772/intechopen.110621</dc:identifier> <dc:language>en</dc:language> <dc:relation>ISBN:978-1-83768-776-3</dc:relation> <dc:rights>https://creativecommons.org/licenses/by/3.0/</dc:rights> <dc:source>https://www.intechopen.com/books/12445 ; Drug Repurposing - Advances, Scopes and Opportunities in Drug Discovery</dc:source> </oai_dc:dc>
id intech-86607
institution IntechOpen
isbn 978-1-83768-776-3
language English
last_indexed 2026-10-15T21:40:18Z
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher IntechOpen
publisherStr IntechOpen
record_format oai_dc
spelling intech-866072023-03-23 Role of Drug Repurposing in Sustainable Drug Discovery Shanta Bhar Health Sciences The contemporary global drug discovery scenario, in spite of several technological advances, is heavily ridden with multiple challenges of a dynamic regulatory system, escalating costs from bench to bedside investigational drugs, the increased probability of withdrawal after launch, and over-stretched timelines from discovery to approval, among others. Drug repurposing/repositioning/re-profiling/re-tasking is an effective and practical complimentary method for the selection of alternate therapies for approved, shelved, discontinued/abandoned, and investigational drugs or new chemical entities, with the parallel study of new metabolic pathways and/or protein targets. Such an approach encompasses multipronged benefits of redundant preclinical testing, toxicity evaluation, and formulation studies, based largely on serendipity. In recent years, approaches have been driven by artificial intelligence (AI) and machine learning, and bioinformatics have opened up new vistas in drug re-profiling acceleration. Increasing protocols to club the shared mechanisms among structurally diverse/dissimilar drugs include pathway analysis, phenotypic screening, signature matching, related disease genes, binding assay studies, molecular docking, and clinical data monitoring. All in all, repositioning of abandoned/investigational/existing drugs or new chemical entities for other therapeutic indications could enhance the overall productivity of the pharmaceutical industry while paradigmatically shifting the focus from new drug discovery to the optimization of available resources. IntechOpen 2023-03-23 Chapter, Part Of Book https://www.intechopen.com/chapters/86607 doi:10.5772/intechopen.110621 en ISBN:978-1-83768-776-3 https://creativecommons.org/licenses/by/3.0/ https://www.intechopen.com/books/12445 ; Drug Repurposing - Advances, Scopes and Opportunities in Drug Discovery
spellingShingle Health Sciences
Bhar, Shanta
Role of Drug Repurposing in Sustainable Drug Discovery
title Role of Drug Repurposing in Sustainable Drug Discovery
title_full Role of Drug Repurposing in Sustainable Drug Discovery
title_fullStr Role of Drug Repurposing in Sustainable Drug Discovery
title_full_unstemmed Role of Drug Repurposing in Sustainable Drug Discovery
title_short Role of Drug Repurposing in Sustainable Drug Discovery
title_sort role of drug repurposing in sustainable drug discovery
topic Health Sciences
url https://www.intechopen.com/chapters/86607
work_keys_str_mv AT bharshanta roleofdrugrepurposinginsustainabledrugdiscovery