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. 2023 Feb 2;6(1):pbad001. doi: 10.1093/pcmedi/pbad001

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© The Author(s) 2023. Published by Oxford University Press on behalf of the West China School of Medicine & West China Hospital of Sichuan University.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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Figure 6. — Prediction of therapeutic agents for use in ferroptosis regulation. (A) Correlation analysis of DLF_score and ferroptosis-related gene expression. (B) Correlation analysis of the compound activity of drugs and ferroptosis-related genes and DLF_score in the NCI 60 cell line. (C) Comparison of drug sensitivity between prostate cancer cell lines with high and low DLF_score. (D) The molecular structure of PI-103. (E) The docking result of the active components to AKR1C3. Diagram of the cyclophosphamide and protein combination. IC50, half-maximal inhibitory concentration; *P < 0.05; **P < 0.01; DLF_score, deep learning-based ferroptosis score.