Show simple item record

AuthorDube, Zanele F.
AuthorSoremekun, Opeyemi S.
AuthorNtombela, Thandokuhle
AuthorIssa Alahmdi, Mohammed Issa
AuthorAbo-Dya, Nader Elmaghwry
AuthorSidhom, Peter Ayoub
AuthorShawky, Ahmed M.
AuthorShibl, Mohamed F.
AuthorIbrahim, Mahmoud A.A.
AuthorSoliman, Mahmoud E.S.
Available date2025-10-09T05:52:35Z
Publication Date2023
Publication NameFuture Medicinal Chemistry
ResourceScopus
Identifierhttp://dx.doi.org/10.4155/fmc-2023-0142
ISSN17568919
URIhttp://hdl.handle.net/10576/67825
AbstractThere 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.
SponsorThe 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
Languageen
PublisherNewlands Press Ltd
Subjectcancer therapy
cancer-responsible targets
computational methodology
molecular docking
pyrazole analogs
TitleInherent efficacies of pyrazole-based derivatives for cancer therapy: the interface between experiment and in silico
TypeArticle Review
Pagination1719-1738
Issue Number18
Volume Number15
ESSN17568927
dc.accessType Abstract Only


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record