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

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Authors: Matthew D. Hirschey, Pol Castellano‐Escuder, John Bradley
Cited by: 0
References: 9

Abstract

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.

Fields of Study & Subjects

Bioinformatics and Genomic Networks Microbial Metabolic Engineering and Bioproduction Biomedical Text Mining and Ontologies

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publication date
12 February 2026
Language
EN
Document type
Preprint