Methods and systems for de novo peptide sequencing using deep learning
US11573239B2 · kind B2 · utility
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Key dates
| Filing date | Jul 17, 2018 |
| Grant date | Feb 7, 2023 |
| Priority date | — |
| Expiry date | Sep 24, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16B50/20
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
The present systems and methods introduce deep learning to de novo peptide sequencing from tandem mass spectrometry data. The systems and methods achieve improvements in sequencing accuracy over existing systems and methods and enables complete assembly of novel protein sequences without assisting databases. The present systems and methods are re-trainable to adapt to new sources of data and provides a complete end-to-end training and prediction solution, which is advantageous given the growing massive amount of data. The systems and methods combine deep learning and dynamic programming to solve optimization problems.
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