Session: In Silico Systems Biology: Intracellular Signaling and Gene Regulation (2010 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:

Juergen Hahn
Department of Chemical Engineering, Texas A& M University
College Station, TX 77843-3122
Phone Number: (979) 845 3568
Fax Number: (979) 845 6446
Email: hahn@tamu.edu

Co-Chair:

Nathan Price
Assistant Professor
University of Illinois
Department of Chemical and Biomolecular Engineering
119 Roger Adams Laboratory
Urbana, IL 61801
Phone Number: 2172440596
Email: ndprice@illinois.edu

Papers:

541a

Gene Regulation by MAPK Substrate Competition
Yoosik Kim, Princeton University; Ze'ev Paroush, The Hebrew University-Hadassah Medical School; Gerardo Jimenez, Institut de Biologia Molecular de Barcelona-CSIC; Stanislav Y. Shvartsman, Princeton University

541b

Quantitative Modeling and Analysis of TGF-β-Induced Erk/MAPK and Smad Signaling
Seung-Wook Chung, University of Delaware; Mary C. Farach-Carson, Rice University; Carlton R. Cooper, University of Delaware; Babatunde A. Ogunnaike, University of Delaware

541c

Interferon-Mediated Innate Immune Responses to Virus Infection
Musarat Ishaq, University of Wisconsin-Madison; John Yin, University of Wisconsin-Madison

541d

Identification of Families of Signal Transduction Models Using Pareto Optimal Ensemble Techniques (POETs)
Anirikh Chakrabarti, Cornell University; Sang Ok Song, Cornell University; Jeffrey D. Varner, Cornell University

541e

Integration of Signaling Networks with Differential Gene Regulation Data Using a Probabilistic Pathway Impact Analysis Approach
Albert Babinskas, Thomas Jefferson University; Rajanikanth Vadigepalli, Thomas Jefferson University

541f

Caveats of Parametric Sensitivity Analysis: Dynamical Analysis of Biological Systems
Thanneer Malai Perumal, National University of Singapore; Rudiyanto Gunawan, National University of Singapore

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

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