A computable map of biological causation

Selenium is not one thing.

It is a network of chemical forms, RNA machinery, proteins, catalytic states, compartments, cell contexts, and downstream consequences. This first page stores every component independently, then rebuilds the pathway from evidence-backed claims.

Read the full source chapters Read the mechanisms When selenium is insufficient Add source data

LEDGER ENTRY 0001 SELENIUM / IMMUNE SIGNALING

SeSELENOKZDHHC6IL-2

Unit of truth: Atomic claim
Relationship model: Typed event
Evidence model: Passage level
Correction policy: Append only

The explanation is generated from the ledger. It is not the ledger.

--entities in focused map

--claims in focused map

--events in focused map

--sources for focused map

--claim corrections in focus

Complete source archive

Read every supplied chapter

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Mechanism ledger and focused pathway map

Selenium mechanisms, with an immune-pathway map

The list includes the broader evidence-backed selenium research set. The mind map remains a focused view from selenium availability to IL-2; it does not imply that the map covers every selenium mechanism.

Supplied-source draft. Primary-source verification remains required.

Opening the selenium ledger...

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Why independent nodes matter

ZDHHC6 becomes a permanent biological join point

Selenium is only one possible input. Once ZDHHC6 has its own canonical identity, a future mineral, drug, mutation, disease state, or metabolite can connect to a different control point on the same enzyme without being buried inside another article.

Current selenium connection

SELENOK -> ZDHHC6 catalytic state

The supplied source describes SELENOK as a cofactor that stabilizes the palmitoyl-ZDHHC6 acyl-enzyme intermediate.

Future independent input

Enzyme abundance

A different nutrient or drug may alter ZDHHC6 transcription, translation, degradation, or trafficking.

Future independent input

Substrate and cofactor supply

Another pathway may change palmitoyl-CoA supply, membrane access, or competing substrates.

Discovery rule

Convergence is not proof of synergy

The ledger surfaces compatible control points, then labels the combination as a hypothesis until a factorial experiment demonstrates interaction.

External mechanistic memory for AI

An LLM can query ZDHHC6 instead of hoping it memorized every paper.

The context endpoint returns canonical identity, aliases, upstream claims, downstream claims, event participants, evidence passages, corrections, and hypotheses as structured data.

GET /api/v1/entities/zdhhc6/context

{
  "entity": "ZDHHC6",
  "upstream_claims": [
    "SELENOK supports catalytic activity"
  ],
  "downstream_claims": [
    "ZDHHC6 palmitoylates IP3R"
  ],
  "evidence": "passage-linked",
  "hypotheses": "separate from claims"
}

Ledger discipline

Corrections, hypotheses, and sources stay visible

A normal article silently changes. A ledger records what changed, what it replaced, and every downstream product that depends on it.

Source-derived draft Hypothesis Correction

Correction ledgerAppend only

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Research hypothesesNot established

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Supplied source materialPassage-level provenance

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Evidence, AI assistance and curation standards