Systems and methods for de novo peptide sequencing using deep learning and spectrum pairs

US11644470B2 · kind B2 · utility

Assignee

• BIOINFORMATICS SOLUTIONS INC. · CA

Inventors

• Rui Qiao · Cupertino, US
• Ngoc Hieu Tran · Waterloo, CA
• Lei Xin · Waterloo, CA
• Xin Chen · Lexington, US
• Baozhen Shan · Waterloo, CA
• Ali Ghodsi · Berkeley, US
• Ming-Shuan Li · Singapore, SG

Key dates

• Filing date: Apr 13, 2020
• Grant date: May 9, 2023
• Expiry date: Jun 15, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G16B40/20
• WIPO field: Measurement
• WIPO sector: Instruments

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.