ARR-Medic-CYP3A4 – Open-Source Drug Interaction Toolkit

Hacker News

Arr-Medic-CYP3A4 is an open-source Python toolkit for modeling CYP3A4-mediated drug interactions. Key features - ~70% accuracy baseline for research & learning - Transparent, extensible codebase (RDKit, ML, GNN roadmap) - Safe "sandbox" for experimenting with drug metabolism prediction - Reproducible and community-driven Open source → research/teaching now, bridge to clinical-grade systems later. Repo: https://github.com/Flamehaven/Arr-Medic-CYP3A4 Try the live demo here: https://huggingface.co/spaces/Flamehaven/arr-medic-cyp3a4-de... Read how it all began: "My First Attempt at a Medical AI with ELI5" on Medium: https://medium.com/p/ccc0edbd2bce Feedback welcome: How do you think such tools could be responsibly used or improved?

Visit product View on Hacker NewsSep 17, 2025

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48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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35%35% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

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