# Drug Target Hunters

- **Event:** [Built with Claude: Life Sciences](https://cerebralvalley.ai/e/built-with-claude-life-sciences)
- **When:** Jul 7 at 12:00 PM – Jul 14 at 12:00 AM (EDT)
- **Where:** Online
- **Team:** [Alexander Han](https://cerebralvalley.ai/u/Alex-Han)
- **GitHub:** https://alhanster.github.io/immune-target-atlas/           https://alhanster.github.io/immune-target-atlas/technical-report.pdf           https://github.com/alhanster/immune-target-atlas-technical-report
- **Demo video:** https://www.youtube.com/watch?v=gXhQpuQM8xs
- **Gallery:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/242

Our analysis combines monogenic immune-disease genes, evolutionary constraint, GWAS, and genome-scale CRISPRi perturb-seq in primary human CD4+ T cells, ranking all 18,692 genes with a positive-unlabeled model that uses no drug-approval information as input. Two findings: (1) it recovers known immune-drug targets at 8.3-fold enrichment in its top 100 under group-aware cross-validation; (2) in a blind test of novelty, 24% (6/25) of its top novel nominations are already in clinical development, versus 2% (1/50) of matched controls (Fisher exact odds ratio 15.5, p=0.005). It independently recovers the active pipeline and nominates the next candidates (MAP3K14/NIK, RORC/RORgt, MALT1) on the antigen-receptor to NF-kB axis.

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Markdown version of https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/242. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt