A curated webserver for identifying cannabis targets

CANDI
Decoding cannabis,
molecule by molecule.

Predict the impact of cannabis compounds and formulations on human health by elucidating their connections with biological targets and pathways.

2,245+
Curated compounds
AI-driven
Target prediction
Reactome
Pathway mapping
Real-time
Similarity heatmaps
Three integrated modules

Predicting the impact of cannabis formulation on human health.

Built on curated chemical libraries, AI target prediction, and Reactome pathway enrichment.

Analytical Pipeline

From compound to pathway, in one workflow.

Search compounds by name, SMILES, or PubChem CID. Run AI-based target prediction across custom formulations. Visualize similarity matrices to reveal hidden structure across the cannabinoid space.

Try the pipeline
Compound lookup
Search 2,245+ curated compounds by name, SMILES, or PubChem CID
01
Target prediction
AI scores binding affinities across human protein targets
02
Pathway enrichment
Reactome mapping with normalized scoring and FDR control
03
Similarity matrix
Cosine clustering & interactive heatmap visualization
04

Curated, not crawled

Every compound and target is manually validated against canonical chemistry & bioactivity sources.

AI-grade prediction

Machine-learning models score targets the same way structural chemists triage hits.

Pathway-aware

Reactome integration turns single targets into mechanistic stories you can act on.

Ready to decode your formulation?

Upload a CSV of compound concentrations and receive predicted targets and pathways in seconds.