skills/sonify-biomolecules/references/evidence-boundaries.md

# Research context

## Supplied papers

- Motoki et al. (2024), “Decoding the meaning of alternative proteins: Connotations and music-matching,” *Food Quality and Preference*, DOI `10.1016/j.foodqual.2024.105117`, studied subjective associations between alternative-food category labels and music-genre labels in Japanese participants.
- Tay et al. (2021), “Protein music of enhanced musicality by music style guided exploration of diverse amino acid properties,” *Heliyon*, DOI `10.1016/j.heliyon.2021.e07933`, demonstrated rule-based compositions driven by amino-acid properties and sequence patterns. Its musicality evaluation was small and subjective.
- Orhan and Gulbahar (2016), “Stimulation of Protein Expression Through the Harmonic Resonance of Frequency-Specific Music,” *Clinical and Investigative Medicine*, DOI `10.25011/CIM.V39I6.27498`, reported RFP fluorescence and MCF-7 cell-count differences after sequence-derived audio exposure. Its experimental account left acoustic calibration, independent biological replication, sham-audio controls, normalization, orthogonal expression assays, and direct p53 measurement unresolved.

## Product relevance

Seq2Music adopts the literature’s central computational idea: biological symbols and derived features can drive deterministic musical events. Each run records the selected mapping, normalized inputs, event ledger, carrier contracts, and integrity status so the result can be inspected and reproduced.