Modeling and Analyzing Biomolecular Networks
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Departmental Papers (CIS)
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biocomputing
biomolecular electronics
discrete event simulation
stochastic systems
agents
biological networks
biomolecular networks
cellular levels
computational toolbox
discrete events
genetic circuits
hybrid models
modes
molecular levels
switching behavior
biomolecular electronics
discrete event simulation
stochastic systems
agents
biological networks
biomolecular networks
cellular levels
computational toolbox
discrete events
genetic circuits
hybrid models
modes
molecular levels
switching behavior
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Abstract
The authors argue for the need to model and analyze biological networks at molecular and cellular levels. They propose a computational toolbox for biologists. Central to their approach is the paradigm of hybrid models in which discrete events are combined with continuous differential equations to capture switching behavior.
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2002-01-01
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Computing in Science and Engineering
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Copyright 2002 IEEE. Reprinted from Computing in Science and Engineering, Volume 4, Issue 1, January/February 2002, pages 20-31. Publisher URL: http://dx.doi.org/10.1109/5992.976434 This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.