吡唑
生物信息学
计算生物学
癌症治疗
药品
药物发现
计算机科学
组合化学
癌症
化学
药理学
生物信息学
生物
生物化学
立体化学
基因
遗传学
作者
Zanele F Dube,Opeyemi Soremekun,Thandokuhle Ntombela,Mohammed Issa Alahmdi,Nader E. Abo‐Dya,Peter A. Sidhom,Ahmed M. Shawky,Mohamed F. Shibl,Mahmoud A. A. Ibrahim,Mahmoud E. S. Soliman
出处
期刊:Future Medicinal Chemistry
[Newlands Press Ltd]
日期:2023-09-01
卷期号:15 (18): 1719-1738
被引量:2
标识
DOI:10.4155/fmc-2023-0142
摘要
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.
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