Topical A: Systems Biology |
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| Session 101 - Multiscale Systems Biology | |||
| A fundamental goal of systems biology is to integrate different component parts of a biological system to understand the workings of the whole. Oftentimes the whole biological system will span either multiple time or spatial scales, if not both. The goal of this session is to discuss research that allows us to better understand such multiscale systems. Papers on both experimental and computational studies are welcome. | |||
| Chair: | Ravi Radhakrishnan | ||
| CoChair: | Yiannis Kaznessis | ||
| 101a | Predicting the Evolutionary Landscape of Multicellular Phenotypes Anand R. Asthagiri |
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| 101b | Multiscale Stochastic Dynamical Models Calibrated from AFM Single-Molecule Time Series and Computer Simulations Christopher P. Calderon, Ching-Hwa Kiang, Dennis D. Cox, Nolan C. Harris, Wei-Hung ChEn, Kuan-Jiuh Lin |
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| 101c | Ligand Specificity of C-Fos Expression Emerges from Spatiotemporal Control of Erbb Network Dynamics Takashi Nakakuki, Marc R. Birtwistle, Yuko Saeki, Noriko Yumoto, Nagashima Takeshi, Babatunde A. Ogunnaike, Hatakeyama Mariko, Boris N. Kholodenko |
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| 101d | Synthesis of Metabolic Pathways Using Thermodynamic Constraints and Parametric Sensitivity Analysis Frank P. Marealle, Ye Wang, Jorge E. Gatica, María Rosa Hernández |
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| Break |
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| 101e | Host and Viral Factors Control Stochastic Behavior In HIV-1 Gene Regulation and Latency Kathryn Miller-Jensen, Ron Skupsky, John C. Burnett, Adam P. Arkin, David V Schaffer |
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| 101f | Stochastic Spatial and Non-Spatial Simulations of the Erbb Signaling Pathways Demonstrate the Importance of Spatial Organization In Signal Transduction Michelle N. Costa, Dion Vlachos, Jeremy S. Edwards |
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| 101g | Reverse Engineering the Human Platelet Jeremy E. Purvis, Manash S. Chatterjee, Lawrence F. Brass, Scott L. Diamond |
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