Abstract
Neuroactive compounds are crucial tools in drug discovery and neuroscience, but it remains difficult to discover neuroactive compounds with new mechanisms of action. To address this need, researchers have developed mid-throughput phenotype-first approaches using zebrafish. This study introduces an open, non-commercial, and extensible hardware/software platform that captures and analyzes drugmodulated phenotypic responses larval zebrafish. We provide full specifications, computer-aided design (CAD) documents, and source code. Accompanying this study, we are also publicly depositing phenotypic data on 3.9 million animals and 34,000 compounds. The data include a high-replicate benchmark set on 14 compounds, a wellcontrolled reference set of 648 known neuroactive compounds, 20 specialized reference sets, a library of 1,520 FDA-approved drugs, 3 screening libraries. This open data resource is curated, structured, tied to extensive metadata, and available under a Creative Commons CC-BY license.
Competing Interest Statement
The authors have declared no competing interest.
Footnotes
D.M-T. designed the experiments, performed the analyses, and wrote the paper. D.M-T., C.H., C.S.K., and D.K. developed the hardware and drivers. D.M-T., C.H., and C.S.K. wrote the software. J.C.T. collected the data and assisted design. R.A., T.A.T., and D.M-T. collected preceding data. R.K. compiled the CAD diagrams. S.R. and D.M.-T. trained convolutional neural networks. D.M-T., J.C.T., and L.G. performed the randomization. D.K. and M.J.K. provided financial support and supervision. All authors read and approved the manuscript.
The authors declare no competing interest.
↵5 Michael J Keiser. E-mail: keiser{at}keiserlab.org
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