Published April 10, 2025
| Version v2
Dataset
Open
Supporting documents for: Cell painting in activated cells illuminates phenotypic dark space and uncovers novel drug mechanisms of action.
Authors/Creators
-
1.
University of California, Santa Cruz
Description
This collection corresponds to an article in Nature Communications with the same title and authors. Source data and scripts used in the analysis are provided here. Raw Histdiff outputs are provided in a separate entry here: 10.5281/zenodo.19501979. There are additional scripts published under two separate DOIs: https://doi.org/10.5281/zenodo.19410518 (https://github.com/LokeyLab/QCGauntlet) and https://doi.org/10.5281/zenodo.19410007 (https://github.com/LokeyLab/HistDiff_standalone). The article was originally made available as a bioRxiv at https://doi.org/10.1101/2025.05.23.655853.
Files
entropy_comparison_10uM.csv
Files
(777.2 MB)
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Additional details
Identifiers
- Other
- RRID:SCR_021114
Related works
- Is described by
- Preprint: 10.1101/2025.05.23.655853 (DOI)
- Is supplemented by
- Software: 10.5281/zenodo.19410007 (DOI)
- Software: 10.5281/zenodo.19410518 (DOI)
- Dataset: 10.5281/zenodo.19501979 (DOI)
Funding
- National Institutes of Health
- NCRR: UCSC Integrated Small Molecule Screening Facility 1S10RR022455-01A1
- National Institutes of Health
- Upgrade of core imaging instrumentation and robotics for the UCSC Chemical Screening Center 1S10OD028730-01A1
- National Institutes of Health
- Center for High Content Functional Annotation of Natural Products U41AT008718
Dates
- Accepted
-
2026-03-27Authors were notified by Nature Communications of acceptance for publication
- Available
-
2025-05-06when the supplementary materials GitHub were last edited
Software
- Repository URL
- https://github.com/LokeyLab/targetmol-cp3
- Programming language
- Python
- Development Status
- Active