# Further findings about plant derived extracellular vesicles (AI assisted research / PathMap.org)

> Source: <https://discuss.huggingface.co/t/further-findings-about-plant-derived-extracellular-vesicles-ai-assisted-research-pathmap-org/179301#post_4>
> Published: 2026-08-27 16:13:07+00:00

After looking more broadly than I did last time, I think I found quite a lot of existing work that PathMap may be able to borrow from:

I think the **PDEV + modifier + target + disease** idea is a good direction. The one architectural change I would make early is to treat the “periodic table” / graph as a **view**, not as the source-of-truth data model.

Underneath it, I would keep something closer to:

```
Entity
  ↓
Material / Preparation
  ↓
Process
  ↓
Observation
  ↓
Assertion + Evidence
  ↓
CandidateAssembly
  ↓
MissingBridge / CompetingAssembly / NextExperiment
```

Then the same records can generate the three views you described:

So I would keep one canonical ginger / STAT3 / ovarian-cancer object rather than triplicating entities, and generate different projections from it.

The practical reason is that a “ginger EV” is not necessarily one stable object with one size, charge, cargo profile or activity. [MISEV2023](https://pmc.ncbi.nlm.nih.gov/articles/PMC10850029/) puts substantial emphasis on source material, preprocessing, separation, characterization and storage. A useful 2025 ginger comparison also found that ultracentrifugation, sucrose-gradient UC, membrane filtration and PEG precipitation changed not only yield but stability, metabolomic composition and in-vitro activity ([Ming et al., 2025](https://pubmed.ncbi.nlm.nih.gov/41220417/)).

So my low-cost default route would be:

That last object may be especially useful for PathMap.

For the datapoints you listed, this is roughly how I would store themA small v0.1 would probably be enough to learn whether this structure is useful:

```
What is directly known?
What is inferred?
What is challenged?
What exact combination was searched?
What bridge is still missing?
What cheap experiment would resolve the most uncertainty?
```

That would keep the project very close to the direction you already seem to be exploring rather than turning it into a different system.

The “periodic table” idea can remain the friendly interface. The main change would be to give it a preparation- and evidence-aware source of truth underneath.

And the PathMap-specific design target I would personally explore is this:

a near-complete experimental assembly whose individual commitments, evidence, context, contradictions, prior-art search, missing bridges, competing variants and next discriminating experiment are tracked together.

I would be cautious about claiming that exact combination is unprecedented—the neighboring fields are broad and moving quickly—but it looks like a useful object even if every individual piece has prior art elsewhere.