Inherent efficacies of pyrazole-based derivatives for cancer therapy: the interface between experiment and in silico
Author | Dube, Zanele F. |
Author | Soremekun, Opeyemi S. |
Author | Ntombela, Thandokuhle |
Author | Issa Alahmdi, Mohammed Issa |
Author | Abo-Dya, Nader Elmaghwry |
Author | Sidhom, Peter Ayoub |
Author | Shawky, Ahmed M. |
Author | Shibl, Mohamed F. |
Author | Ibrahim, Mahmoud A.A. |
Author | Soliman, Mahmoud E.S. |
Available date | 2025-10-09T05:52:35Z |
Publication Date | 2023 |
Publication Name | Future Medicinal Chemistry |
Resource | Scopus |
Identifier | http://dx.doi.org/10.4155/fmc-2023-0142 |
ISSN | 17568919 |
Abstract | There has been an increasing trend in the design of novel pyrazole derivatives for desired biological applications. For a cost-effective strategy, scientists have implemented various computational drug design tools to go hand in hand with experiments for the design and discovery of potentially effective pyrazole-based therapeutics. This review highlights the milestones of pyrazole-containing inhibitors and the use of molecular modeling techniques in conjunction with experimental studies to provide a view of the binding mechanism of these compounds. The review focuses on the established targets that play a key role in cancer therapy, including proteins involved in tubulin polymerization, carbonic anhydrase and tyrosine kinase. Overall, using both experimental and computational methods in drug design represents a promising approach to cancer therapy. |
Sponsor | The authors extend their appreciation to the Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia, for funding this research work through the project number: IFP22UQU4331174DSR144. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed. Writing disclosure |
Language | en |
Publisher | Newlands Press Ltd |
Subject | cancer therapy cancer-responsible targets computational methodology molecular docking pyrazole analogs |
Type | Article Review |
Pagination | 1719-1738 |
Issue Number | 18 |
Volume Number | 15 |
ESSN | 17568927 |
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