TargetBench (Insilico)
10 disease-area target identification benchmarks on ScienceAIBench/DDB (cancer, cardiovascular, endocrine/metabolic, fibrotic, inflammation/immunology, neuro, etc.).
Composite score: 84.6
Rubric (1–5 per criterion)
rigor
4/5
coverage
4/5
maintenance
5/5
adoption
3/5
quality
4/5
accessibility
5/5
industry_relevance
5/5
Metadata
Stages
Target IDDisease Modeling
Modalities
cross-modality
Task types
target-prioritization
License
CC-BY
First release
2025-03
Last updated
2026-04
Flags
none
Size & scope
- benchmarks: 10
- disease_areas: 10
Primary paper
Title
TargetBench methodology
Authors
I, n, s, i, l, i, c, o, , A, I, , T, e, a, m
Year
2025
DOI / arXiv
N/A — portal
Citations
5
Links
- Official site: https://scienceaibench.insilico.com/
- GitHub: N/A
- Leaderboard: https://scienceaibench.insilico.com/
Hosted by (initiatives)
Experts (primary authors / maintainers)
Groups (host labs / companies / consortia)
Related benchmarks
Notes (honest caveats)
Disease-organized target ID benchmark — unique axis. Frontier LLM leaderboard.