568 Integrative Systems Biology


Description:
Biological networks are of extraordinary complexity. To understand how they function as an integrated system, computational approaches are needed to analyze different experimental data types (e.g., metabolites, mRNA, protein) in a cohesive fashion. This session will focus on recent advances that adopt such integrative approaches to understand biological systems.

Sponsor:
Bioengineering
Co-Sponsor(s):
Engineering Fundamentals in Life Science (15D)


Chair:
Mark P. Brynildsen
Assistant Professor
Princeton University
Chemical and Biological Engineering
25 William Street
Princeton, NJ
08540
Email: mbrynild@princeton.edu

Co-chairs:
Jonathan L. Robinson
Postdoctoral Researcher
Chalmers University of Technology
Department of Biology and Biological Engineering
Gothenburg
08540
Email: jonrob@chalmers.se

Peter St. John
Postdoctoral Researcher
National Renewable Energy Laboratory
Biosciences Center
Golden, CO
Email: peter.stjohn@nrel.gov


Papers:
568a
A Quantitative Analysis of Integrin Activation on T Cell Homing
Nicholas Anderson, University of Pennsylvania; Dooyoung Lee, Applied Biomath, LLC; Daniel A. Hammer, University of Pennsylvania
568b
Simulating Ca2+ Signal Propagation in Exact 3D Reconstructions of Hepatic Lobules
Rajanikanth Vadigepalli, Thomas Jefferson University; Aalap Verma, Daniel Baugh Institute for Functional Genomics and Computational Biology; Jan Hengstler, Leibniz Research Centre for Working Environment and Human Factors; Jan Hoek, Thomas Jefferson University; Babatunde A. Ogunnaike, University of Delaware
568c
Expecting the Unexpected: Synthesis Pathway-Host Incompatibility Due to Metabolic Network Disruption
Sara Amin, Tufts University; Venkatesh EndalurGopinarayanan, Tufts University; Nikhil U. Nair, Tufts University; Soha Hassoun, Tufts University
568d
Extending a Scalable Bayesian Metabolic Modeling Framework with Thermodynamic Constraints and Support for Transcriptional Regulation
Jonathan Strutz, Northwestern University; Peter St. John, National Renewable Energy Laboratory; Linda J. Broadbelt, Northwestern University; Keith E.J. Tyo, Northwestern University
568e
Dynamic Sequence Specific Constraint-Based Modeling of E. coli Cell-Free Protein Synthesis
Nicholas G. Horvath, Cornell University; Wei Dai, Cornell University; Michael Vilkhovoy, Cornell University; Jeffrey Varner, Cornell University
568f
Towards a Metabolic and Expression Model of the Metabolically Versatile Bacterium Rhodopseudomonas Palustris
Adil Alsiyabi, University of Nebraska - Lincoln; Rajib Saha, University of Nebraska-Lincoln
568g
Towards a Predictive Synthetic Biology Enabled By Machine Learning and Automation
Hector Garcia Martin, Joint BioEnergy Institute (JBEI)
Abstract Submissions Closed
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