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Informatics on Drug Repurposing for Breast Cancer
Moving a new drug from bench to bedside is a long and arduous process. The tactic of drug repurposing, which solves “new” diseases with “old” existing drugs, is more efficient and economical than conventional ab-initio way for drug development. Information technology has dramatically changed the par...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315146/ https://www.ncbi.nlm.nih.gov/pubmed/37405253 http://dx.doi.org/10.2147/DDDT.S417563 |
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author | Zhou, Hui Liu, Hongdou Yu, Yan Yuan, Xiao Xiao, Ling |
author_facet | Zhou, Hui Liu, Hongdou Yu, Yan Yuan, Xiao Xiao, Ling |
author_sort | Zhou, Hui |
collection | PubMed |
description | Moving a new drug from bench to bedside is a long and arduous process. The tactic of drug repurposing, which solves “new” diseases with “old” existing drugs, is more efficient and economical than conventional ab-initio way for drug development. Information technology has dramatically changed the paradigm of biomedical research in the new century, and drug repurposing studies have been significantly accelerated by implementing informatics techniques related to genomics, systems biology and biophysics during the past few years. A series of remarkable achievements in this field comes with the practical applications of in silico approaches including transcriptomic signature matching, gene-connection-based scanning, and simulated structure docking in repositioning drug therapies against breast cancer. In this review, we systematically curated these impressive accomplishments with summarization of the main findings on potentially repurposable drugs, and provide our insights into the current issues as well as future directions of the field. With the prospective improvement in reliability, the computer-assisted repurposing strategy will play a more critical role in drug research and development. |
format | Online Article Text |
id | pubmed-10315146 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-103151462023-07-03 Informatics on Drug Repurposing for Breast Cancer Zhou, Hui Liu, Hongdou Yu, Yan Yuan, Xiao Xiao, Ling Drug Des Devel Ther Review Moving a new drug from bench to bedside is a long and arduous process. The tactic of drug repurposing, which solves “new” diseases with “old” existing drugs, is more efficient and economical than conventional ab-initio way for drug development. Information technology has dramatically changed the paradigm of biomedical research in the new century, and drug repurposing studies have been significantly accelerated by implementing informatics techniques related to genomics, systems biology and biophysics during the past few years. A series of remarkable achievements in this field comes with the practical applications of in silico approaches including transcriptomic signature matching, gene-connection-based scanning, and simulated structure docking in repositioning drug therapies against breast cancer. In this review, we systematically curated these impressive accomplishments with summarization of the main findings on potentially repurposable drugs, and provide our insights into the current issues as well as future directions of the field. With the prospective improvement in reliability, the computer-assisted repurposing strategy will play a more critical role in drug research and development. Dove 2023-06-28 /pmc/articles/PMC10315146/ /pubmed/37405253 http://dx.doi.org/10.2147/DDDT.S417563 Text en © 2023 Zhou et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Review Zhou, Hui Liu, Hongdou Yu, Yan Yuan, Xiao Xiao, Ling Informatics on Drug Repurposing for Breast Cancer |
title | Informatics on Drug Repurposing for Breast Cancer |
title_full | Informatics on Drug Repurposing for Breast Cancer |
title_fullStr | Informatics on Drug Repurposing for Breast Cancer |
title_full_unstemmed | Informatics on Drug Repurposing for Breast Cancer |
title_short | Informatics on Drug Repurposing for Breast Cancer |
title_sort | informatics on drug repurposing for breast cancer |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315146/ https://www.ncbi.nlm.nih.gov/pubmed/37405253 http://dx.doi.org/10.2147/DDDT.S417563 |
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