AI Based Discovery of a New AKR1C3 Inhibitor for Anticancer Applications

Agnese C. Pippione, Chiara Vigato, Cristina Tucciarello, Samrina Hussain, Edoardo Salladini, Ha H. Truong, Niel M. Henriksen, Gaia Vanzetti, Giorgia Giordano, Daniele Zonari, Osman Asghar Mirza, Karla Frydenvang, Ymera Pignochino, Simonetta Oliaro-Bosso*, Donatella Boschi*, Marco L. Lolli

*Corresponding author for this work

Research output: Contribution to journalLetterpeer-review

Abstract

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.

Original languageEnglish
JournalACS Medicinal Chemistry Letters
Volume15
Issue number8
Pages (from-to)1269–1278
ISSN1948-5875
DOIs
Publication statusPublished - 2024

Bibliographical note

Publisher Copyright:
© 2024 American Chemical Society

Keywords

  • AI drug design
  • AKR1C3 inhibitors
  • doxorubicin.
  • Osteosarcoma
  • Prostate Cancer

Cite this