Preliminary Program subject to change
T4005 - In Silico Systems Biology: Part I
OverviewA critical component of systems biology is the development of in silico approaches to understand systems of interest. For this session, papers discussing novel uses of in silico methods to understand biological systems, as well as the development of new technologies and algorithms for in silico systems analysis are welcome. Research including experimental work is particularly encouraged.
Primary SponsorTopical 4 - Systems Biology (T4)

Chair

Jeffrey D. Varner
Genenecor International Inc
925 Page Mill Rd
Palo Alto, CA 94304
Phone Number: (650) 846 4030
Email: jvarner@genencor.com

CoChair

Ranjan Srivastava
Assistant Professor
University of Connecticut
191 Auditorium Rd., Unit 3222
Storrs, CT 06269
Phone Number: (860) 486-2802
Fax Number: (860) 486-2959
Email: srivasta@engr.uconn.edu
Model-Reduction by Simultaneous Determination of Network Topology and Parameters: Application to Modules in Biochemical Networks
Mano R. Maurya, San Diego Supercomputer Center, University of California San Diego, 9500 Gilman Drive, MC 0505, La Jolla, CA 92093-0505, Scott J. Bornheimer, Departments of Chemistry & Biochemistry and Cellular & Molecular Medicine, University of California, San Diego, 9500 Gilman Dr, La Jolla, CA 92093, Venkat Venkatasubramanian, School of Chemical Engineering, Purdue University, 480 Stadium Mall Drive, West Lafayette, IN 47907 and Shankar Subramaniam, San Diego Supercomputer Center, Department of Bioengineering, Department of Chemistry & Biochemistry, University of California San Diego, 9500 Giman Drive, La Jolla, CA 92093-0505
Biological Network Design Principles: Discovery through Optimization
Bambang Adiwijaya, Biological Engineering Division, MIT, 32 Vassar St #32-210, Cambridge, MA 02139, Paul I. Barton, Chemical Engineering, MIT, 77 Mass Ave, 66-464, Cambridge, MA 02139 and Bruce Tidor, Biological Engineering, Electrical Engineering and Computer Science, MIT, 32 Vassar St #32-211, Cambridge, MA 02139
Understanding the Ultrasensitive Responses of Tricyclic Cascade Networks
Theodore R. Rieger, Northwestern University, 2145 Sheridan Rd., E136, Evanston, IL 60208 and Vassily Hatzimanikatis, Department of Chemical and Biological Engineering, Northwestern University, 2145 Sheridan Road, Room E136, Evanston, IL 60208-3120
Inferring Transcription Factor Activities with a Probabilistic Framework of Hidden Markov Model
Zheng Li1, Stephen M. Shaw1, Matthew J. Yedwabnick1 and Christina Chan2, (1)Department of Chemical Engineering and Material Science, Michigan State University, 2527 Engineering Building, East Lansing, MI 48824, (2)Michigan State University, 2527 Engineering Building, East Lansing, MI 48824
Isochron-Based Phase Sensitivity Analysis of Oscillatory Biological Systems
Rudiyanto Gunawan, University of California Santa Barbara, University of California Santa Barbara, Santa Barbara, CA 93106-5080 and Francis J. Doyle III, Department of Chemical Engineering, University of California Santa Barbara, University of California Santa Barbara, Santa Barbara, CA 93106-5080
Markov Chain Modeling of Pyelonephritis-Associated Pili Expression in Uropathogenic Escherichia Coli
Laura R. Jarboe, Baiyu Zhou, David Beckwith and James C. Liao, Department of Chemical Engineering, UCLA, 5805 Boelter Hall, 420 Westwood Pl, Los Angeles, CA 90095

Topical 4 - Systems Biology