Dataset Information
Peptide turnover prediction using transformer architectures on large-scale time-series proteomic data.
Ontology highlight
ABSTRACT:
SUBMITTER: Ishino K
PROVIDER: S-EPMC12857029 | biostudies-literature | 2026 Jan
REPOSITORIES: biostudies-literature
Publications
Peptide turnover prediction using transformer architectures on large-scale time-series proteomic data.
BMC genomics 20260122 1
BACKGROUND: Protein turnover is essential for maintaining cellular homeostasis and is closely linked to regulatory and disease-related mechanisms. Recent advances in mass spectrometry have enabled high-precision peptide-level measurements; however, identifying sequence-intrinsic signals that determine protein lifespan remains challenging due to the diversity of degradation pathways and cellular variability. Meanwhile, transformer-based protein language models have demonstrated strong capabilitie ...[more]
