Evidence Provenance & Scientific Audit Panel
AYURGRAPH-X enforces an auditable 6-tier classification framework so researchers can distinguish direct wet-lab binding from computational predictions and historical lore.
In vitro, in vivo, or crystallographic binding affinities from peer-reviewed assays.
Manually curated scientific records from ChEMBL, PubChem, or IMPPAT 3.0.
Mechanistic or observational correlations reported in indexed biomedical journals.
Target predictions, molecular docking scores, or QSAR machine learning models.
NLP-extracted relationship awaiting researcher verification loop.
Translational research proposal generated for wet-lab evaluation.
Audited Evidence Records Registry
Traceable primary citations with explicit contradiction notes and data licences.
Integrated Data Sources & Attribution Licences
| Data Repository | Licence / Terms | Scope in AYURGRAPH-X | Attribution Notice |
|---|---|---|---|
| PubChem (NCBI / NLM) | Public Domain (US Gov) | Chemical structures, CIDs, SMILES, 2D depictions | Kim et al., Nucleic Acids Res. 2023 |
| ChEMBL 34 (EMBL-EBI) | CC BY-SA 3.0 | Experimental bioactivity metrics (IC50, Ki) and target IDs | Zdrazil et al., Nucleic Acids Res. 2024 |
| GBIF Global Biodiversity | CC BY 4.0 / CC0 | Species occurrence coordinates & taxonomy match | GBIF Secretariat, Denmark 2026 |
| PubMed / NCBI | Open Access / Fair Use | Peer-reviewed biomedical literature abstracts & PMIDs | National Library of Medicine |
| IMPPAT 3.0 Reference | CC BY-NC-ND 4.0 (Non-commercial) | Classical Ayurvedic text reference citations | Mohanraj et al., Sci Rep. 2018 |