The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
BioNetGen: software for rule-based modeling of signal transduction based on the interactions of molecular domains
Open accessAbstract
Summary: BioNetGen allows a user to create a computational model that characterizes the dynamics of a signal transduction system, and that accounts comprehensively and precisely for specified enzymatic activities, potential post-translational modifications and interactions of the domains of signaling molecules. The output defines and parameterizes the network of molecular species that can arise during signaling and provides functions that relate model variables to experimental readouts of interest. Models that can be generated are relevant for rational drug discovery, analysis of proteomic data and mechanistic studies of signal transduction. Availability: http://cellsignaling.lanl.gov/bionetgen
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The complexity of complexes in signal transduction
Hlavacek, W. S., Faeder, J. R., Blinov, M. L., Perelson, A. S., & Goldstein, B. (2003) · Biotechnology and Bioengineering · doi:10.1002/bit.10842 · Cited by 207
Self-citationMathematical and computational models of immune-receptor signalling
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Self-citationS toch S im : modelling of stochastic biomolecular processes
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Systems biology markup language: Level 2 and beyond
Finney, A., & Hucka, M. (2003) · Biochemical Society Transactions · doi:10.1042/bst0311472 · Cited by 187
Investigation of Early Events in FcεRI-Mediated Signaling Using a Detailed Mathematical Model
Faeder, J. R., Hlavacek, W. S., Reischl, I. G., Blinov, M. L., Metzger, H., Redondo, A., Wofsy, C., & Goldstein, B. (2003) · The Journal of Immunology · doi:10.4049/jimmunol.170.7.3769 · Cited by 165
Self-citationShapiro, B. E., Levchenko, A., Meyerowitz, E. M., Wold, B. J., & Mjolsness, E. (2003) · Bioinformatics · doi:10.1093/bioinformatics/btg042 · Cited by 122
Modeling the early signaling events mediated by FcεRI
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Cell-signalling dynamics in time and space
Kholodenko, B. N. (2006) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1838 · Cited by 1,347
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Rules for Modeling Signal-Transduction Systems
Hlavacek, W. S., Faeder, J. R., Blinov, M. L., Posner, R. G., Hucka, M., & Fontana, W. (2006) · Science's STKE · doi:10.1126/stke.3442006re6 · Cited by 350
Self-citationVirtual Cell modelling and simulation software environment
Moraru, I. I., Schaff, J. C., Slepchenko, B. M., Blinov, M. L., Morgan, F., Lakshminarayana, A., Gao, F., Li, Y., & Loew, L. M. (2008) · IET Systems Biology · doi:10.1049/iet-syb:20080102 · Cited by 236
Self-citationKiyatkin, A., Aksamitiene, E., Markevich, N. I., Borisov, N. M., Hoek, J. B., & Kholodenko, B. N. (2006) · Journal of Biological Chemistry · doi:10.1074/jbc.m600482200 · Cited by 195
Metadata
- Authors
- Blinov, M. L., Faeder, J. R., Goldstein, B., & Hlavacek, W. S.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-06-24
- Volume
- 20
- Issue
- 17
- Pages
- 3289-3291
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2163493106
- Cited by
- 429
- References
- 11
- FWCI
- 4.15
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Blinov, M. L., Faeder, J. R., Goldstein, B., & Hlavacek, W. S. (2004). BioNetGen: software for rule-based modeling of signal transduction based on the interactions of molecular domains. Bioinformatics. https://doi.org/10.1093/bioinformatics/bth378
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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