Session: In Silico Systems Biology: Intracellular Signaling and Gene Regulation (2009 Annual Meeting)

Description:

A 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.

Sponsor:

Topical A: Systems Biology

Chair:

Casim A. Sarkar
Assistant Professor
University of Pennsylvania
Department of Bioengineering
Philadelphia, PA 19104
Phone Number: 215-573-4072
Email: casarkar@seas.upenn.edu

Co-Chair:

Narendra Maheshri

Papers:

151a

Deterministic and Stochastic Population Level Simulations of An Artificial Lac Operon Genetic Network
Michail Stamatakis, Rice University; Kyriacos Zygourakis, Rice University

151b

Stochastic Simulation of Cytosolic Calcium Dynamics
TaiJung Choi, University of California, San Diego; Mano R. Maurya, Department of Bioengineering, University of California San Diego; Daniel M. Tartakovsky, University of California, San Diego; Shankar Subramaniam, University of California San Diego

151c

Quantitative Analysis of the Gene Regulatory Network Activated by Angiotensin II Type 1 Receptor in the Brainstem
Gregory M. Miller, University of Delaware; Rajanikanth Vadigepalli, Thomas Jefferson University; James S. Schwaber, Thomas Jefferson University; Babatunde A. Ogunnaike, University of Delaware

151d

Using Mutual Information to Identify TAR-Tat Coevolution in HIV-1 and Its Implications for Viral Latency
Siddharth S. Dey, University of California at Berkeley; John C. Burnett, University of California at Berkeley; Adam P. Arkin, University of California at Berkeley; David V. Schaffer, University of California at Berkeley

151e

Endocytosis and Signaling: Insilico Modeling at Multiple Scales
Neeraj Agrawal, University of Pennsylvania; Sean Engles, University of Pennsylvania; Randall Toy, University of Pennsylvania; Ravi Radhakrishnan, University of Pennsylvania

151f

A Dynamic Analysis of Insulin Signaling and Its Feedback Mechanisms: A Discrete Modeling Approach
Ming Wu, Michigan State University; Xuerui Yang, Michigan State University; Christina Chan, Michigan State University

See more of this Group/Topical: Topical A: Systems Biology

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