AI Based Discovery of a New AKR1C3 Inhibitor for Anticancer Applications
Lab / animal
OA: closed
AI-generated summary
An AI-based virtual screen identified compound 4 as a potent AKR1C3 inhibitor that enhances the antiproliferative effects of abiraterone in prostate cancer and doxorubicin in osteosarcoma cell lines.
One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works
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.
My notes (saved in your browser only)
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.
Source provenance
- europepmc
- last seen: 2026-10-11T09:27:45.537177+00:00
- pubmed
- last seen: 2026-10-08T21:45:17.439342+00:00
- unpaywall
- last seen: 2026-10-17T06:24:38.187582+00:00