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datadrivenhypothesis.org: A resource for metabolic gene discovery through integrated pathway co-essentiality mapping.

Publication ,  Journal Article
Hirschey, MD; Castellano-Escuder, P; Bradley, J
Published in: bioRxiv
February 12, 2026

datadrivenhypothesis.org (DDH) integrates gene dependency, expression, literature data, and beyond from ~20,000 human genes to reveal hidden metabolic connections. Through pathway-level co-essentiality analysis with novelty scoring, DDH uncovered unexpected links including Complex II coupled to purine nucleotide biosynthesis. This broad platform offers intuitive tools for hypothesis generation via gene queries, pathway analysis, and network visualization, plus publication-ready downloads. Automated updates make DDH a dynamic resource, bridging genes with unknown function to actionable metabolic insights.

Duke Scholars

Published In

bioRxiv

DOI

EISSN

2692-8205

Publication Date

February 12, 2026

Location

United States
 

Citation

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Hirschey, M. D., Castellano-Escuder, P., & Bradley, J. (2026). datadrivenhypothesis.org: A resource for metabolic gene discovery through integrated pathway co-essentiality mapping. BioRxiv. https://doi.org/10.64898/2026.02.11.705287
Hirschey, Matthew D., Pol Castellano-Escuder, and John Bradley. “datadrivenhypothesis.org: A resource for metabolic gene discovery through integrated pathway co-essentiality mapping.BioRxiv, February 12, 2026. https://doi.org/10.64898/2026.02.11.705287.
Hirschey, Matthew D., et al. “datadrivenhypothesis.org: A resource for metabolic gene discovery through integrated pathway co-essentiality mapping.BioRxiv, Feb. 2026. Pubmed, doi:10.64898/2026.02.11.705287.

Published In

bioRxiv

DOI

EISSN

2692-8205

Publication Date

February 12, 2026

Location

United States