A bi-path temporal deep learning model enables robust identification of single-peptide phosphorylation from noisy, diffusion-affected SM-SERS trajectories in plasmonic nanopores.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cond-mat.mes-hall 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Resolving Single-Peptide Phosphorylation Dynamics in Plasmonic Nanopores using Physics-Informed Bi-Path Model
A bi-path temporal deep learning model enables robust identification of single-peptide phosphorylation from noisy, diffusion-affected SM-SERS trajectories in plasmonic nanopores.