Interaction Matrix

Correlation Heatmap

Predicted Pharmacodynamics

Classical Textual References

This dataset compiles classical Ayurvedic pharmacological data meticulously verified from authoritative sources including the Charaka Samhita, Sushruta Samhita, and Bhavaprakasha Nighantu.

The Computational Framework

To enable genuine research, qualitative Ayurvedic concepts have been structurally mapped into machine-readable arrays. Rather than reading text, classical properties are processed mathematically to generate Uniqueness scores, clustering, synergy matrices, and predictive formulations.

1. Mathematical Uniqueness Formula

The Similarity Lab calculates a herb's Uniqueness Score using the inverse frequency of its specific traits across the entire dataset:

A higher score indicates a highly unusual pharmacological profile relative to the standard Ayurvedic canon.

2. Hierarchical Dravyaguna Weighting (Formulation Predictor)

Formulation prediction moves beyond simple majority voting by implementing classical hierarchical dominance. When combining herbs, traits are multiplied by both their proportional parts and their physiological dominance:

3. Polyherbal Synergy & Viruddha Aushadha

The Synergy Matrix calculates pairwise compatibility. Shared properties yield positive synergy (Samyoga), while opposing core potencies (e.g., Ushna Virya mixed with Sheeta Virya) trigger severe mathematical penalties to flag classical incompatibilities (Virodha).

Citations & Open Source Use

If you use this database or the Explorer platform in your research, academic papers, or clinical software, please provide appropriate attribution using the primary Zenodo DOIs: