A Machine‑Readable Foundation for Peptide Discovery: Monomer Standardisation & Integrated Workflows
8:30 am - Wednesday 2nd December 2026
- Standardising non‑canonical amino acids, a scaffold‑driven monomer nomenclature and a centralised, harmonised database (>7000 standardised monomers) provide a consistent, machine‑readable representation that links chemical structures and sequence notation.
- Integrating standardisation across the DMTA cycle, governed submission‑and‑review workflows and cross‑platform connections (design, registration, and analysis tools) embed consistent monomer representation into routine peptide work, reducing ambiguity and improving data quality for decision‑making.
- Supporting computer‑aided and AI‑based design, a structured, high‑quality data foundation provides the input required for machine learning and computer‑aided design, and improves cross‑functional consistency in peptide programs, contributing to more efficient peptide optimisation.
