前列腺癌
阿霉素
虚拟筛选
酶
药品
药理学
癌症研究
药物发现
癌症
计算生物学
前列腺
化学
医学
化疗
生物化学
内科学
生物
作者
Agnese Chiara Pippione,Chiara Vigato,Cristina Tucciarello,Samrina Hussain,Edoardo Salladini,Ha H. Truong,Niel M. Henriksen,Gaia Vanzetti,G Giordano,Daniele Zonari,Osman Mirza,Karla Frydenvang,Ymera Pignochino,Simonetta Oliaro‐Bosso,Donatella Boschi,Marco L. Lolli
标识
DOI:10.1021/acsmedchemlett.4c00150
摘要
AKR1C3 is an upregulated enzyme in prostate and other cancers; in addition to regulating hormone synthesis, this enzyme is thought to play a role in the aggressiveness of tumors and in the defense against drugs. We here used an unbiased method to discover new potent AKR1C3 inhibitors: through an AI-based virtual drug screen, compound 4 was identified as a potent and selective enzymatic inhibitor able to translate this activity into a pronounced antiproliferative effect in the 22RV1 prostate cancer cell model. As other known AKR1C3 inhibitors, compound 4 determined a significantly increased activity of abiraterone, a drug approved for advanced prostate cancer. Compound 4 also showed a synergic effect with doxorubicin in osteosarcoma cell lines; specifically, the effect is correlated with AKR1C3 expression. In this research work, therefore, the use of AI allowed the identification of a new structure as an AKR1C3 inhibitor and its potential to enhance the effect of chemotherapeutics.
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