Systems and methods for de novo peptide sequencing using deep learning and spectrum pairs
US11644470B2 · Bioinformatics Solutions Inc. · priority 2019
| Patent | US11644470B2 ↗ |
| Status | Active |
| Priority date | 2019-04-15 |
| Filed | 2020-04-13 |
| Published (granted) | 2023-05-09 |
| Assignee | Bioinformatics Solutions Inc. |
| Claims | PointNovo |
| Also published as | US20200326348A1 |
Abstract
The present systems and methods are directed to de novo identification of peptide sequences from tandem mass spectrometry data. The systems and methods uses unconverted mass spectrometry data from which features are extracted. Using unconverted mass spectrometry data reduces the loss of information and provides more accurate sequencing of peptides. The systems and methods combine deep learning and neural networks to sequencing of peptides.
Why it is here
Claims PointNovo: de novo sequencing from unconverted spectra; the inventors are the PointNovo paper’s authors.
Inventors (7)
Rui Qiao, Ngoc Hieu Tran, Lei Xin, Xin Chen (Waterloo), Baozhen Shan, Ali Ghodsi, Ming Li
An inventor links to an author page only where the same person is evident, never on a name alone.
Catalogued papers it cites (8)
- De novo peptide sequencing via tandem mass spectrometry (1999)
- Implementation and Uses of Automated de Novo Peptide Sequencing by Tandem Mass Spectrometry (2001)
- PEAKS: powerful software for peptide de novo sequencing by tandem mass spectrometry (2003)
- PepNovo: de novo peptide sequencing via probabilistic network modeling (2005)
- NovoHMM: A Hidden Markov Model for de Novo Peptide Sequencing (2005)
- Complete De Novo Assembly of Monoclonal Antibody Sequences (2016)
- De novo peptide sequencing by deep learning (2017)
- Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry (2018)
Matched from the patent’s 18 literature citations by the rules the paper citation graph uses.
Catalogued patents it cites (3)
- US11573239B2 Methods and systems for de novo peptide sequencing using deep learning
- US11694769B2 Systems and methods for de novo peptide sequencing from data-independent acquisition using deep learning
- US20200243164A1 Systems and methods for patient-specific identification of neoantigens by de novo peptide sequencing for personalized immunotherapy
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- Genentech company: KR20250078915A
- Guizhou University academic: CN117316282B
- Hunan University of Technology and Business academic: CN116825198B
- King Fahd University of Petroleum and Minerals academic: US12463657B2
- Sapient Bioanalytics company: US12205806B2
- Shanghai Applied Protein Technology company: CN113936742B
- Tianjin Guoke Medical Technology Development company: CN113281446B
- Translational Genomics Research Institute academic: US11587644B2
- Xiamen University academic: CN113362899B
- Zhejiang University Hangzhou Global Innovation Center academic: CN116825200B
- Zhuhai Comleader Information Technology company: CN116500118B
Every family, of any applicant, that cites this one, as Google Patents lists them; an assignee is given its English name.