Every terpene and flavorant in the corpus, rotatable in 3D — with the clinic thread and the entourage evidence.
author: Denson Smith · part of The aroma molecules of cannabis
Each card carries the live PubChem 3D structure — drag to rotate, scroll to zoom. Use the controls to change representation or spin them all. The colors are chemistry's standard code: gray spheres are carbon, white are hydrogen, red is oxygen — and where they appear, yellow is sulfur and blue is nitrogen.
Every viewer is a real molecular structure — PubChem's record for that exact compound, served with this page and drawn in your browser by the open-source viewer 3Dmol.js. Nothing is an artist's impression, and nothing leaves the page to render it.
Viewer: 3Dmol.js documentation — Rego & Koes, Bioinformatics 2015, doi:10.1093/bioinformatics/btu829.
Read the last line of every card: cannabis doesn't smell like cannabis so much as it smells like a blend of other plants — because it literally shares their aroma molecules. That shared chemical vocabulary is what a structured knowledge graph captures.
Why hasn't the scrutiny happened? Not because the questions are uninteresting. Much of cannabis medical research is starved: attention and funding are scarce, and a long-running stigma has kept serious money and serious careers away from questions this size for decades. CB2 leads to one of the field's most-hyped clinical questions — does cannabis help dementia? — so we read the citation graph of that literature to see what it actually rests on. The honest version:
The point for this document: a single aroma molecule — the smell of black pepper — opens onto an entire clinical literature, because it happens to also be a drug. Mapping those cross-domain reaches, with every claim grounded and the hype separated from the evidence, is the work. (The citation-graph structure above is verified metadata; the recent-trial figures are from grounded web search, not independently checked against the source papers.)
→ Read the full cannabis-and-dementia citation analysis (the three-pillar breakdown)
Terpene profiles are remarkably similar across cultivars that smell nothing alike; the exotic notes come from these trace flavorant classes, each under 0.05% of the flower's mass. How they rewrite the whole percept — and whether they stop at the nose — is told on the story page.
Each card leads with the compound class, then its example molecule — drag any to rotate; the view/spin controls above drive these too.
The popular claim is that terpenes and cannabinoids act synergistically — that the whole plant beats the isolated molecule. The evidence is more careful than the marketing:
This atlas is the part a machine builds cleanly: molecule → aroma → botanical source → receptor, every identifier real and checkable. What it can't finish is the interaction — how the trace flavorants bend the terpene base, better or worse, and which of those blended profiles people actually prefer. That is a sensory-panel + preference-modeling problem (precisely what the Oswald 2023 study used a human panel for), plus validating compound effects in human cell models. The map is built; reading what it means for preference needs a domain expert.
→ The story: the aroma molecules of cannabis — same atoms, different smells, different effects
Every page here has a markdown twin; this page's is https://denson.github.io/aroma-atlas/atlas.md (also served with .txt appended), carrying everything the 3D viewers show, as text. https://denson.github.io/aroma-atlas/llms.txt describes how the record is organized.