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Literature DB >> 15654321

Reconstruction of cellular signalling networks and analysis of their properties.

Jason A Papin¹, Tony Hunter, Bernhard O Palsson, Shankar Subramaniam.

Abstract

The study of cellular signalling over the past 20 years and the advent of high-throughput technologies are enabling the reconstruction of large-scale signalling networks. After careful reconstruction of signalling networks, their properties must be described within an integrative framework that accounts for the complexity of the cellular signalling network and that is amenable to quantitative modelling.

Mesh：

Year: 2005 PMID： 15654321 DOI： 10.1038/nrm1570

Source DB: PubMed Journal: Nat Rev Mol Cell Biol ISSN： 1471-0072 Impact factor: 94.444

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Cited

158 in total

1. A mouse macrophage lipidome.

Authors: Edward A Dennis; Raymond A Deems; Richard Harkewicz; Oswald Quehenberger; H Alex Brown; Stephen B Milne; David S Myers; Christopher K Glass; Gary Hardiman; Donna Reichart; Alfred H Merrill; M Cameron Sullards; Elaine Wang; Robert C Murphy; Christian R H Raetz; Teresa A Garrett; Ziqiang Guan; Andrea C Ryan; David W Russell; Jeffrey G McDonald; Bonne M Thompson; Walter A Shaw; Manish Sud; Yihua Zhao; Shakti Gupta; Mano R Maurya; Eoin Fahy; Shankar Subramaniam
Journal: J Biol Chem Date: 2010-10-05 Impact factor: 5.157

2. Timescale analysis of rule-based biochemical reaction networks.

Authors: David J Klinke; Stacey D Finley
Journal: Biotechnol Prog Date: 2011-09-26

3. Two hydrophobic residues can determine the specificity of mitogen-activated protein kinase docking interactions.

Authors: A Jane Bardwell; Lee Bardwell
Journal: J Biol Chem Date: 2015-09-14 Impact factor: 5.157

4. Time-varying causal inference from phosphoproteomic measurements in macrophage cells.

Authors: Maryam Masnadi-Shirazi; Mano Ram Maurya; Shankar Subramaniam
Journal: IEEE Trans Biomed Circuits Syst Date: 2014-02 Impact factor: 3.833

Review 5. Integration of systems glycobiology with bioinformatics toolboxes, glycoinformatics resources, and glycoproteomics data.

Authors: Gang Liu; Sriram Neelamegham
Journal: Wiley Interdiscip Rev Syst Biol Med Date: 2015-04-13

10. Identification of novel SHPS-1-associated proteins and their roles in regulation of insulin-like growth factor-dependent responses in vascular smooth muscle cells.

Authors: Xinchun Shen; Gang Xi; Yashwanth Radhakrishnan; David R Clemmons
Journal: Mol Cell Proteomics Date: 2009-03-18 Impact factor: 5.911

Reconstruction of cellular signalling networks and analysis of their properties.

1. A mouse macrophage lipidome.

2. Timescale analysis of rule-based biochemical reaction networks.

3. Two hydrophobic residues can determine the specificity of mitogen-activated protein kinase docking interactions.

4. Time-varying causal inference from phosphoproteomic measurements in macrophage cells.

Review 5. Integration of systems glycobiology with bioinformatics toolboxes, glycoinformatics resources, and glycoproteomics data.

6. A computational framework for the topological analysis and targeted disruption of signal transduction networks.

7. Reconstruction of a kinetic model of the chromatophore vesicles from Rhodobacter sphaeroides.

8. Inverse drug screens: a rapid and inexpensive method for implicating molecular targets.

9. Mathematical models of specificity in cell signaling.

10. Identification of novel SHPS-1-associated proteins and their roles in regulation of insulin-like growth factor-dependent responses in vascular smooth muscle cells.