Reconstruction of cellular signalling networks and analysis of their properties
By Jason A. Papin, T. Hunter, Bernhard O. Palsson, Shankar Subramaniam. Nature reviews. Molecular cell biology, 2005
547 citations recorded by the source corpus.
Subfields: Biophysics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/f7034e23f3c40aa735740d5d81b42a766d9fed42
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biophysics
- John N. Weinstein
- Florian Markowetz
- J. Ludwig
- Rainer Spang
- J. Sáez-Rodríguez
- Bernhard O. Palsson
- Ruth Nussinov
In Molecular Biology
- Bernhard O. Palsson
- Jennie L. Reed
- Ines Thiele
- Ernst Dieter Gilles
- Steffen Klamt
- J. Sáez-Rodríguez
- Iman Famili
- Jonathan A. Lindquist
Citations in the corpus
- A Logical Model Provides Insights into T Cell Receptor Signaling (2007, methodology): “However, for signaling networks, methods facilitating a similar functional analysis—including predictions on the outcome of interventions— have been applied to a much lesser extent [6].”
- Structure and dynamics of molecular networks: A novel paradigm of drug discovery: A comprehensive review (2012, background): “48 pathways (Papin et al., 2005; Fraser & Germain, 2009).”
- A methodology for the structural and functional analysis of signaling and regulatory networks (2006, background): “However, the reconstruction of large signaling networks is still in its first stages [2,12].”
- Inferring cellular networks – a review (2007, methodology): “Further reading There are a number of other reviews and method comparisons available: some focus on applications and biological interpretations [126-128], and some concentrate on methodology [129-137].”
- Biomarkers in Cancer Staging, Prognosis and Treatment Selection (2005, methodology): “Both the experimental technologies and the methods of analysis have been reviewed extensively elsewher”
- Structural and functional analysis of cellular networks with CellNetAnalyzer (2007, unknown): “Structural or qualitative (parameter-free) models relying solely on the often well-known network structure provide an alternative approach still capable to gain useful insights in the functioning of these networks [3-6].”
- Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0 (2007, unknown): “Genome-scale network reconstruction efforts have been employed to generate models of diverse cellular processes such as signal transductio”
- Towards multidimensional genome annotation (2006, background): “Although the emphasis here is on metabolic networks as the literature on them is well developed, other biological networks can also be represented in much the same way as they fundamentally obey many of the same chemical rule”