Discrete Diffusion with Physical Mass Constraints for De Novo Peptide Sequencing

ML conference · ICML 2026 · 2026

ML conference · ICML 2026 · 2026. Zeyu An et al.
Date 2026-07-04
Type ML conference
Venue ICML 2026
Publisher PMLR
Contribution algorithm
Link https://proceedings.mlr.press/v306/zeyu26a.html

Authors

  1. Zeyu An · The Hong Kong Polytechnic University
  2. Wanyu Lin · The Hong Kong Polytechnic University

Methods and tools

  • PhysNovo: Discrete-diffusion de novo peptide sequencer that folds in physical mass-constraint terms at inference time, so generated sequences respect the observed precursor mass rather than relying purely on the learned amino-acid prior.

Data used

  • ProteomeTools (HC-PT (NovoBench)) · no public address
  • Seven-species benchmark (NovoBench split) · no public address

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