公开(公告)号：US11694769B2

公开(公告)日：2023-07-04

申请号：US16226575

申请日：2018-12-19

Applicant: BIOINFORMATICS SOLUTIONS INC.

Inventor： Baozhen Shan ,  Ngoc Hieu Tran ,  Ming Li ,  Lei Xin ,  Rui Qiao ,  Xin Chen ,  Chuyi Liu

IPC: G01N33/48 ,  G01N33/50 ,  G16B40/10 ,  H01J49/00 ,  G01N33/68 ,  G16B30/20 ,  G16B40/20 ,  G06N3/02

CPC classification number: G16B40/10 ,  G01N33/6818 ,  G01N33/6848 ,  G06N3/02 ,  G16B30/20 ,  G16B40/20 ,  H01J49/0036

Abstract: The present systems and methods introduce deep learning to de novo peptide sequencing from tandem mass spectrometry data, and in particular mass spectrometry data obtained by data-independent acquisition. 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. To sequence peptides from mass spectrometry data obtained by data-independent acquisition, precursor profiles representing intensities of one or more precursor ion signals associated with a precursor retention time and fragment ion spectra representing signals from fragment ions and fragment retention times are fed into a neural network.

公开(公告)号：US20190147983A1

公开(公告)日：2019-05-16

申请号：US16226575

申请日：2018-12-19

Applicant: BIOINFORMATICS SOLUTIONS INC.

Inventor： Baozhen Shan ,  Ngoc Hieu Tran ,  Ming Li ,  Lei Xin ,  Rui Qiao ,  Xin Chen ,  Chuyi Liu

IPC: G16B40/10 ,  H01J49/00

Abstract: The present systems and methods introduce deep learning to de novo peptide sequencing from tandem mass spectrometry data, and in particular mass spectrometry data obtained by data-independent acquisition. 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. To sequence peptides from mass spectrometry data obtained by data-independent acquisition, precursor profiles representing intensities of one or more precursor ion signals associated with a precursor retention time and fragment ion spectra representing signals from fragment ions and fragment retention times are fed into a neural network.