LIT-PCBA

Literature-curated dose-response PubChem BioAssay set; 15 targets with unbiased actives/inactives.

Composite
80.8
Experimental validation
Retrospective
Stages
Hit ID
Modalities
small-molecule
Task types
virtual-screening
Size
targets: 15
actives: 7,844
inactives: 2,533,936
License
CC-BY
First release
2020-03
Last updated
2023-06
Official site
→ project page
Leaderboard
→ leaderboard
Dataset
→ dataset
Code / GitHub
→ repository
HuggingFace
→ HF
Paper
LIT-PCBA: An Unbiased Data Set for Machine Learning and Virtual Screening · Tran-Nguyen VK, Jacquemard C, Rognan D · 2020 · paper · doi:10.1021/acs.jcim.0c00155 · 310 citations
Flags
none
Experts
Didier Rognan
Groups
LIT Strasbourg (Rognan)
Hosted by
Related benchmarks
DUD-E, DEKOIS 2.0, DOCKSTRING

Rubric (7-criterion)

rigor
5
coverage
3
maintenance
2
adoption
4
quality
5
accessibility
5
industry_relevance
4

Notes

Much fairer than DUD-E; small target count limits coverage.

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