Artificial Intelligence Understands Peptide Observability and Assists With Absolute Protein Quantification

Artificial Intelligence Understands Peptide Observability and Assists With Absolute Protein Quantification

Targeted mass spectrometry has become the method of choice to gain absolute quantification information of high quality, which is essential for a quantitative understanding of biological systems. However, the design of absolute protein quantification assays remains challenging due to variations in pe...

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Bibliographic Details
Main Authors: David Zimmer, Kevin Schneider, Frederik Sommer, Michael Schroda, Timo Mühlhaus
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-11-01
Series:Frontiers in Plant Science
Subjects:
mass spectrometry
deep learning
machine learning
proteotypic peptide
peptide observability
absolute quantification
Online Access:https://www.frontiersin.org/article/10.3389/fpls.2018.01559/full

Internet

https://www.frontiersin.org/article/10.3389/fpls.2018.01559/full

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