The KSEA App: a web-based tool for kinase activity inference from quantitative phosphoproteomics-Reference-Cited by-同舟云学术

The KSEA App: a web-based tool for kinase activity inference from quantitative phosphoproteomics

Published:2017-06-26 Issue:21 Volume:33 Page:3489-3491
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Wiredja Danica D¹,Koyutürk Mehmet²,Chance Mark R¹

Affiliation:

1. Department of Nutrition, Center for Proteomics and Bioinformatics, Case Western Reserve University, Cleveland, OH, USA

2. Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH, USA

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/33/21/3489/25166068/btx415.pdf

Reference13 articles.

1. The RSK family of kinases: emerging roles in cellular signalling;Anjum;Nat. Rev. Mol. Cell Biol,2008

2. Kinase–substrate enrichment analysis provides insights into the heterogeneity of signaling pathway activation in leukemia cells;Casado;Sci. Signal,2013

3. KinomeXplorer: an integrated platform for kinome biology studies;Horn;Nat. Methods,2014

4. PhosphoSitePlus: a comprehensive resource for investigating the structure and function of experimentally determined post-translational modifications in man and mouse;Hornbeck;Nucleic Acids Res,2012

5. Phosphoproteomics Reveals MAPK Inhibitors Enhance MET- and EGFR-Driven AKT Signaling in KRAS-Mutant Lung Cancer;Kim;Mol. Cancer Res,2016

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