Knowledge graph organizes prebiotic chemistry data, improving access and usability for computational research and education.
The origin of life is one of the most compelling questions in science. While experimental prebiotic chemistry has produced a wide range of reactions and plausible pathways, the resulting data remain fragmented across numerous publications and disciplinary journals. Here, we introduce ChemOrigins, an open access, community-curated knowledge graph that organizes experimentally supported prebiotic reactions. By representing molecules, reactions, conditions and literature sources as interconnected nodes, ChemOrigins enables modular grouping of reactions and supports complex, query-driven exploration via a graph database architecture. We demonstrate the utility of this framework through text-based searches, reaction network expansions and the interactive visualization of user-annotated chemical modules. Unlike generative models, ChemOrigins prioritizes curated, evidence-based content and fosters community contributions through expert annotations and a user-friendly interface. As a structured resource, ChemOrigins is designed to complement existing chemical databases and serve as a foundation for computational, educational and theoretical research in the origins-of-life field.
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Cuevas-Zuviría et al. (2025) studied this question.
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