Departmental Papers (CIS)

Document Type

Journal Article

Date of this Version

January 2002

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.

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.

Keywords

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



Share

COinS

Date Posted: 30 April 2005

This document has been peer reviewed.