SILAC group de novo
algorithm · Grouped spectra
SILAC group de novo: algorithm · Grouped spectra. Algorithm for peptide de novo sequencing from a group of SILAC-labeled MS/MS spectra.
Algorithm for peptide de novo sequencing from a group of SILAC-labeled MS/MS spectra.
| Kind | algorithm |
| Deep learning | no |
| Acquisition | DDA |
| Family | Grouped spectra |
Data
What the papers describing this method trained it on and reported its results on, as each paper states it. A version is named only where the paper names one.
Also used, purpose not recorded
- Functional proteomics defines differential signaling networks of the oncogenic kinases Bcr-Abl p210 and p185 (as deposited) · 2023 thesis
- Protein exchange rates within mitochondrial protein complexes of differentiated myotubes using pulsed SILAC complexome p (as deposited) · 2023 thesis
- Proteome of Erythropoietin-induced mouse CFU-E cells (as deposited) · 2023 thesis
Papers describing it (3)
- De novo sequencing of multiple SILAC-based tandem mass spectra (2022, 2022 IEEE 21st International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), peer-reviewed)
- De novo sequencing of multiple tandem mass spectra of peptide containing SILAC labeling (2023, thesis)
- An algorithm for peptide de novo sequencing from a group of SILAC labeled MS/MS spectra (2025, Journal of Bioinformatics and Computational Biology, peer-reviewed)