sammargolis/DrugTargetWorld
DrugTargetWorld: a synthetic biobank for training and benchmarking AI scientists on end-to-end drug target discovery. Paper: arXiv:2610.09558
Latest metrics (snapshot 2026-10-15)
| stars | 34 |
|---|---|
| forks | 8 |
| issues | 0 |
| pushed_at | 2026-10-11T01:28:37Z |
History
History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.
| Date | GitHub stars |
|---|---|
| 2026-10-15 | 34 |
ADC Momentum: 39/100
| Growth velocity | 37 |
|---|---|
| Consistency | 30 |
| Recency | 81 |
| Agent demand | 0 |
| Basis | bootstrap |
ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method
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[](https://agentdataco.com/repo/sammargolis/DrugTargetWorld)<a href="https://agentdataco.com/repo/sammargolis/DrugTargetWorld"><img src="https://agentdataco.com/badge/repo/sammargolis/DrugTargetWorld.svg" alt="ADC Momentum"></a>Details
| description | DrugTargetWorld: a synthetic biobank for training and benchmarking AI scientists on end-to-end drug target discovery. Paper: arXiv:2610.09558 |
|---|---|
| url | https://github.com/sammargolis/DrugTargetWorld |
| license | MIT |
| topics | agentic-ai ai-agents ai-for-science ai-scientist benchmark biobank biomedical-ai cardiovascular causal-inference computational-biology drug-discovery drug-target-discovery |
| created_at | 2026-09-18T17:29:15Z |
| homepage | https://drugtargetworld.vercel.app |
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