slug: dyno
provider: Dyno
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Pharmaceuticals & Life Sciences
min_confidence: 0.7
capability_model:
  source: https://github.com/vincentmakes/turbo-ea-capabilities
  license: CC-BY-4.0
  attribution: Turbo EA Capabilities by Vincent Verdet — Turbo EA, https://github.com/vincentmakes/turbo-ea-capabilities,
    CC BY 4.0
  notice: NOTICE
edge_count: 1
edges:
- tag: Runs
  spec_file: dyno-runs-api-openapi.yml
  capability_id: BC-1500
  capability_id_l1: BC-1500
  capability_name: Drug Discovery Management
  confidence: 0.7
  evidence: 'POST /runs create_run_runs_post Create Run; schemas: DesignRequest, DesignResponse; "Submit
    structure-prediction and sequence-design jobs, track their status, and retrieve scored results"'
  reason: Runs submit and manage in-silico protein structure-prediction and sequence-design jobs with
    scored results (DesignRequest/DesignResponse) — computational molecule design, i.e. discovery-stage
    research on candidate molecules. Left at L1 because the evidence does not distinguish hit discovery
    from lead optimisation.