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Updated: Jun 16, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
Towards genome-scale signalling network reconstructions
Daniel R Hyduke1, Bernhard Ø Palsson
1Department of Bioengineering, University of California-San Diego, 9500 Gilman Drive, La Jolla, California 92093-0412, USA. hyduke@ucsd.edu
Abstract:
Biological signalling networks allow living organisms to issue an integrated response to current conditions and make limited predictions about future environmental changes. Small-scale dynamic models of signalling cascades, including mitogen-activated protein kinase cascades, have been developed to generate hypotheses about signal transduction. Owing to technical limitations, these models and the hypotheses they generate have focused on a limited subset of signalling molecules. Now that we can simultaneously measure a substantial portion of the molecular components of a cell, we can begin to develop and test systems-level models of cellular signalling and regulatory processes, therefore gaining insights into the 'thought' processes of a cell.
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