Akt Pathway Inhibitors

蛋白激酶B 变构调节 PI3K/AKT/mTOR通路 癌症研究 癌细胞 化学 细胞生长 癌症 信号转导 药理学 生物 细胞生物学 生物化学 遗传学
作者
Nne E. Uko,Osman Güner,Diane F. Matesic,J. Phillip Bowen
出处
期刊:Current Topics in Medicinal Chemistry [Bentham Science Publishers]
卷期号:20 (10): 883-900 被引量:117
标识
DOI:10.2174/1568026620666200224101808
摘要

Cancer is a devastating disease that has plagued humans from ancient times to this day. After decades of slow research progress, promising drug development, and the identification of new targets, the war on cancer was launched, in 1972. The P13K/Akt pathway is a growth-regulating cellular signaling pathway, which in many human cancers is over-activated. Studies have demonstrated that a decrease in Akt activity by Akt inhibitors is associated with a reduction in tumor cell proliferation. There have been several promising drug candidates that have been studied, including but not limited to ipatasertib (RG7440), 1; afuresertib (GSK2110183), 2; uprosertib (GSK2141795), 3; capivasertib (AZD5363), 4; which reportedly bind to the ATP active site and inhibit Akt activity, thus exerting cytotoxic and antiproliferative activities against human cancer cells. For most of the compounds discussed in this review, data from preclinical studies in various cancers suggest a mechanistic basis involving hyperactivated Akt signaling. Allosteric inhibitors are also known to alter the activity of kinases. Perifosine (KRX- 0401), 5, an alkylphospholipid, is known as the first allosteric Akt inhibitor to enter clinical development and is mechanistically characterized as a PH-domain dependent inhibitor, non-competitive with ATP. This results in a reduction in Akt enzymatic and cellular activities. Other small molecule (MK- 2206, 6, PHT-427, Akti-1/2) inhibitors with a similar mechanism of action, alter Akt activity through the suppression of cell growth mediated by the inhibition of Akt membrane localization and subsequent activation. The natural product solenopsin has been identified as an inhibitor of Akt. A few promising solenopsin derivatives have emerged through pharmacophore modeling, energy-based calculations, and property predictions.
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