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System and network biology-based computational approaches for drug repositioning
Recent advances in computational biology have not only fastened the drug discovery process but have also proven to be a powerful tool for the search of existing molecules of therapeutic value for drug repurposing. The system biology-based drug repurposing approaches shorten the time and reduced the...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300680/ http://dx.doi.org/10.1016/B978-0-323-91172-6.00003-0 |
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author | Pandita, Vasundhara Parihar, Arpana Parihar, Dipesh Singh Panda, Subhamay Shanmugarajan, Dhivya Kumari, Leena Badwaik, Hemant Ramachandra |
author_facet | Pandita, Vasundhara Parihar, Arpana Parihar, Dipesh Singh Panda, Subhamay Shanmugarajan, Dhivya Kumari, Leena Badwaik, Hemant Ramachandra |
author_sort | Pandita, Vasundhara |
collection | PubMed |
description | Recent advances in computational biology have not only fastened the drug discovery process but have also proven to be a powerful tool for the search of existing molecules of therapeutic value for drug repurposing. The system biology-based drug repurposing approaches shorten the time and reduced the cost of the whole process when compared to de novo drug discovery. In the present pandemic situation, these computational approaches have emerged as a boon to tackle the COVID-19 associated morbidities and mortalities. In this chapter, we present the overview of system biology-based network system approaches which can be exploited for the drug repurposing of disease. Besides, we have included information on relevant repurposed drugs which are currently used for the treatment of COVID-19. |
format | Online Article Text |
id | pubmed-9300680 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-93006802022-07-21 System and network biology-based computational approaches for drug repositioning Pandita, Vasundhara Parihar, Arpana Parihar, Dipesh Singh Panda, Subhamay Shanmugarajan, Dhivya Kumari, Leena Badwaik, Hemant Ramachandra Computational Approaches for Novel Therapeutic and Diagnostic Designing to Mitigate SARS-CoV-2 Infection Article Recent advances in computational biology have not only fastened the drug discovery process but have also proven to be a powerful tool for the search of existing molecules of therapeutic value for drug repurposing. The system biology-based drug repurposing approaches shorten the time and reduced the cost of the whole process when compared to de novo drug discovery. In the present pandemic situation, these computational approaches have emerged as a boon to tackle the COVID-19 associated morbidities and mortalities. In this chapter, we present the overview of system biology-based network system approaches which can be exploited for the drug repurposing of disease. Besides, we have included information on relevant repurposed drugs which are currently used for the treatment of COVID-19. 2022 2022-07-15 /pmc/articles/PMC9300680/ http://dx.doi.org/10.1016/B978-0-323-91172-6.00003-0 Text en Copyright © 2022 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Pandita, Vasundhara Parihar, Arpana Parihar, Dipesh Singh Panda, Subhamay Shanmugarajan, Dhivya Kumari, Leena Badwaik, Hemant Ramachandra System and network biology-based computational approaches for drug repositioning |
title | System and network biology-based computational approaches for drug repositioning |
title_full | System and network biology-based computational approaches for drug repositioning |
title_fullStr | System and network biology-based computational approaches for drug repositioning |
title_full_unstemmed | System and network biology-based computational approaches for drug repositioning |
title_short | System and network biology-based computational approaches for drug repositioning |
title_sort | system and network biology-based computational approaches for drug repositioning |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300680/ http://dx.doi.org/10.1016/B978-0-323-91172-6.00003-0 |
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