Modelling cellular behaviour
By Drew Endy, Roger Brent. Nature, 2001
414 citations recorded by the source corpus.
Subfields: Biophysics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/6382079d37c5361f3827c2022621f1c06af0bf88
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biophysics
In Molecular Biology
- Andreas Ruepp
- Hans-Werner Mewes
- James R. Faeder
- Igor V. Tetko
- Timothy C. Elston
- William S. Hlavacek
- Walter Fontana
- Michael Hucka
Citations in the corpus
- Modeling and Simulation of Genetic Regulatory Systems: A Literature Review (2002, neutral): “While it was being prepared, several other reviews on the modeling and simulation of genetic regulatory systems appeared (Endy and Brent, 2001; Hasty et al ., 2001; McAdams and Arkin, 1998; Smolen et al ., 2000) [see Glass (1977), Rosen (1968), Thomas (1979) for earlier reviews].”
- A Correction to the Review Titled "Rules for Modeling Signal-Transduction Systems" by W. S. Hlavacek et al. (2006, background): “More-over, hundreds to thousands of chemical species may be generated by the interactions of only a few proteins ( 28 , 30 – 33 ).”
- Stochasticity in transcriptional regulation: origins, consequences, and mathematical representations. (2001, methodology): “We have attempted here to strike a balance between those models that are based on discrete-object simulation (Endy and Brent, 2001; McAdams and Arkin 1998) and those that are derived directly in terms of macroscopic state variables and either neglect randomness or add it by hand (Hasty et al 2001;…”
- Next Generation Simulation Tools: The Systems Biology Workbench and BioSPICE Integration (2003, neutral): “…recently and especially since the development of high-throughput data collection and the completion of the human genome project, there has been a renewed and vigorous interest in understanding the dynamic aspects of cellular networks (Endy and Brent, 2001; Rao and Arkin, 2002; Tyson et al., 2003).”
- Rule-based modeling of biochemical systems with BioNetGen. (2009, background): “phosphorylation states. This feature of protein-protein interactions, which arises because a typical protein involved in cellular regulation contains multiple sites of post-translational modification and multiple binding sites, has been called combinatorial complexity and has been recognized as a si”
- The FunCat, a functional annotation scheme for systematic classification of proteins from whole genomes. (2004, background): “To this end, all available biological information has to be integrated to generate Biological Information Systems (BIS) ( 1 ).”