Invention Grant
US09040903B2 Precursor selection using an artificial intelligence algorithm increases proteomic sample coverage and reproducibility
有权
使用人工智能算法的前体选择增加了蛋白质组学样本的覆盖率和重现性
- Patent Title: Precursor selection using an artificial intelligence algorithm increases proteomic sample coverage and reproducibility
- Patent Title (中): 使用人工智能算法的前体选择增加了蛋白质组学样本的覆盖率和重现性
-
Application No.: US13438301Application Date: 2012-04-03
-
Publication No.: US09040903B2Publication Date: 2015-05-26
- Inventor: Joshua J. Coon , Michael S. Westphall , Graeme McAlister , Derek Bailey
- Applicant: Joshua J. Coon , Michael S. Westphall , Graeme McAlister , Derek Bailey
- Applicant Address: US WI Madison
- Assignee: Wisconsin Alumni Research Foundation
- Current Assignee: Wisconsin Alumni Research Foundation
- Current Assignee Address: US WI Madison
- Agency: Lathrop & Gage LLP
- Main IPC: B01D59/44
- IPC: B01D59/44 ; G06F19/18 ; H01J49/00 ; G06F19/00

Abstract:
Described herein are mass spectrometry systems and methods which utilize a dynamic a new data acquisition/instrument control methodology. These systems and methods employ novel artificial intelligence algorithms to greatly increase quantitative and/or identification accuracy during data acquisition. In an embodiment, the algorithms can adapt the instrument methods and systems during data acquisition to direct data acquisition resources to increase quantitative or identification accuracy of target analytes, such as proteins, peptides, and peptide fragments.
Public/Granted literature
Information query