Methods and systems for de novo peptide sequencing using deep learning

US11573239B2 · Bioinformatics Solutions Inc. · priority 2017

Patent US11573239B2 (Bioinformatics Solutions Inc., Active): 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…
Patent US11573239B2 ↗
Status Active
Priority date 2017-07-17
Filed 2018-07-17
Published (granted) 2023-02-07
Assignee Bioinformatics Solutions Inc.
Claims DeepNovo
Also published as US20190018019A1, WO2020014767A1

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.

Why it is here

Claims DeepNovo: deep learning de novo sequencing of DDA spectra; the inventors are the DeepNovo paper’s authors.

Inventors (5)

Baozhen Shan, Ngoc Hieu Tran, Ming Li, Lei Xin, Xianglilan Zhang

An inventor links to an author page only where the same person is evident, never on a name alone.

Catalogued papers it cites (22)

Matched from the patent’s 64 literature citations by the rules the paper citation graph uses.

Cited by catalogued patents (2)

  • US11644470B2 Systems and methods for de novo peptide sequencing using deep learning and spectrum pairs
  • US12340874B1 Artificial neural network models for prediction of de novo sequencing of chains of amino acids

Cited by (41 patent families, 33 organisations)

Every family, of any applicant, that cites this one, as Google Patents lists them; an assignee is given its English name.

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