Dark Gene Structure Prioritization

Why It Matters

Dark genes are where the Atlas can create new biological value, but only if prioritization is disciplined. This opportunity turns a broad unknown set into a ranked review queue that combines multiple evidence modes.

Review Brief

What changed: the dark-gene derived product now has a broader review brief, so this opportunity should specify the first actionable characterization packet.

Why review matters: reviewers should decide which dark-gene candidates deserve scarce structural, genetic, or biochemical follow-up.

Evidence to inspect:

• Dark Gene Prioritization Tables for candidate rankings.
• functional_dark_matter, truly_dark_genes, and cofitness_coinheritance for evidence components.
• AlphaFold, InterPro, UniProt, and pangenome context for annotation and structural priors.

Questions for reviewers:

• Which evidence mix is sufficient for a first characterization packet?
• Are structural hints being presented as hypotheses rather than function calls?
• Which candidates are likely annotation lag and should be routed to curation?
• What experiment or analysis would resolve the top candidate's function?

Evidence Base

The strongest candidates should have fitness relevance, cofitness or coinheritance support, annotation novelty, and structural features that make a mechanism plausible. Structural hints alone are not function, but they can route scarce review effort.

Work Package

Join dark-family candidates with cofitness modules, annotation databases, AlphaFold structures, topology predictions, and any metal-specific signals. Package each high-priority family with evidence, caveats, and suggested validation.

Decision Use

This creates a reusable queue for structural biology and functional annotation work. It also provides a template for how Atlas opportunities should move from large candidate lists to reviewer-sized decisions.