ArticleNature communications2024
Deep phenotypic profiling of neuroactive drugs in larval zebrafish.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review of artificial intelligence use in behavioral analysis of invertebrate and larval model organisms: methods, applications and future recommendations.Frontiers in artificial intelligence · 2026Pooled it
- Cross-Species Triage of SERT-Oriented Polyheteroaryl Candidates Prioritizes AD20/UtIA-0108 as an Early Neuroactive Candidate.Current issues in molecular biology · 2026Article
- Article
- LaZeTrack: An open-source object detection algorithm to detect and track 2-day-old zebrafish motor touch responses.Quantitative biology (Beijing, China) · 2026Article
- A high-resolution phenotypic screen identifies regulators of CNS axon diameter in zebrafish.PLoS biology · 2026Article
- Pharmaco-behavioral profiling identifies suppressors of autism gene-associated phenotypes in zebrafish.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Neuro-Transcriptomic Responses to Polypharmacological Agents inBrain sciences · 2026Article
- A dataset of fine-grained zebrafish interactions in health and disease.Scientific data · 2026Article
- High-throughput multi-camera array microscope platform for automated 3D behavioral analysis of swimming zebrafish larvae.Communications biology · 2026Article
- Development of a deep learning-based grid walking test for assessing post-stroke motor function in mice.Frontiers in behavioral neuroscience · 2026Article
- Zebrafish as a translational model for peptide-mediated synaptic dysfunction related to obesity.Frontiers in synaptic neuroscience · 2026Review
- High-throughput multi-camera array microscope platform for automated 3D behavioral analysis of swimming zebrafish larvae.bioRxiv : the preprint server for biology · 2025Article
- Imaging cellular activity simultaneously across all organs of a vertebrate reveals body-wide circuits.bioRxiv : the preprint server for biology · 2025Article
- Behavioral Profiling in Zebrafish Identifies Insecticide-Related Compounds.Journal of agricultural and food chemistry · 2025Article
- A narrative review on the environmental impact of medicines: from water analysis andFrontiers in drug safety and regulation · 2025Review
- Article
- A Multimodal, In Vivo Approach for Assessing Structurally and Phenotypically Related Neuroactive Molecules.ACS chemical neuroscience · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Behavioral larval zebrafish screens leverage a high-throughput small molecule discovery format to find neuroactive molecules relevant to mammalian physiology. We screen a library of 650 central nervous system active compounds in high replicate to train deep metric learning models on zebrafish behavioral profiles. The machine learning initially exploited subtle artifacts in the phenotypic screen, necessitating a complete experimental re-run with rigorous physical well-wise randomization. These large matched phenotypic screening datasets (initial and well-randomized) provide a unique opportunity to quantify and understand shortcut learning in a full-scale, real-world drug discovery dataset. The final deep metric learning model substantially outperforms correlation distance-the canonical way of computing distances between profiles-and generalizes to an orthogonal dataset of diverse drug-like compounds. We validate predictions by prospective in vitro radio-ligand binding assays against human protein targets, achieving a hit rate of 58% despite crossing species and chemical scaffold boundaries. These neuroactive compounds exhibit diverse chemical scaffolds, demonstrating that zebrafish phenotypic screens combined with metric learning achieve robust scaffold hopping capabilities.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.