Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics
deposit · DDA · 1 version · 3 papers
Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics
| Kind | deposit |
| Acquisition | DDA |
| Organisms | Homo sapiens (human) |
Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics
Versions
as deposited
released 2022-10-28 · introduced by Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics
Where it lives:
- PRIDE · PXD037803
Deposited by (1)
- Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics (2023) peer-reviewed as deposited
Used by (2)
- A large-scale unified deep learning model for peptide mass spectrum interpretation trained on multimodal data (2026) peer-reviewed as deposited
- Cumulating MS Signal enables polyclonal antibody analysis (2025) preprint as deposited
Methods on these papers (3)
- Cumulative MS score (cMS) algorithm
- Multienzyme DeepNovo models algorithm
- pUniFind algorithm
Taken from the describing links only, so a paper that merely ran a tool on this data does not make that tool a method of it.