Modeling and Analyzing Biomolecular Networks

Loading...
Thumbnail Image

Embargo Date

Related Collections

Degree type

Discipline

Subject

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

Funder

Grant number

License

Copyright date

Distributor

Related resources

Author

Belta, Calin
Rubin, Harvey
Schug, Jonathan

Contributor

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.

Advisor

Date Range for Data Collection (Start Date)

Date Range for Data Collection (End Date)

Digital Object Identifier

Series name and number

Publication date

2002-01-01

Journal title

Computing in Science and Engineering

Volume number

Issue number

Publisher

Publisher DOI

Journal Issues

Comments

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.

Recommended citation

Collection