291 In silico Systems Biology I: Biotechnology Applications


Description:
Computational approaches are needed to unravel the complexity of biological networks and understand how they function as a system. This session will focus on recent advances in the application of in silico methods and/or the development of novel computational techniques 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:
Jason Shoemaker
Assistant Professor
University of Pittsburgh
Department of Chemical & Petroleum Engineering
Pittsburgh, PA
Email: jason.shoemaker@pitt.edu

Rajib Saha
Assistant Professor
University of Nebraska-Lincoln
Department of Chemical and Biomolecular Engineering
213 Othmer Hall
Lincoln, NE
68508
Email: rsaha2@unl.edu


Papers:
291a
Constructing Predictive Kinetic Models of Metabolism with Transcriptional Regulation
Satyakam Dash, The Pennsylvania State University; Saratram Gopalakrishnan, The Pennsylvania State University; Charles Foster, Pennsylvania state University; Costas D. Maranas, The Pennsylvania State University
291b
Scalable and Efficient Bayesian Metabolic Modeling with Linear-Logarithmic Kinetics
Peter St. John, National Renewable Energy Laboratory; Joseph Rollin, National Renewable Energy Laboratory; Michael F. Crowley, National Renewable Energy Laboratory; Yannick J. Bomble, National Renewable Energy Laboratory
291c
The E. coli Proteome and Metallome Under Oxidative Stress
Laurence Yang, University of California, San Diego; Colton J. Lloyd, University of California, San Diego; Joon Ho Park, University of California, San Diego; Donghyuk Kim, Kyung Hee University; Sangwoo Seo, Seoul National University; Bernhard O. Palsson, University of California, San Diego
291d
Modeling Stochasticity in the Cell Cycle
Clara Hartmanshenn, Rutgers, The State University of New Jersey; Rohit Rao, Rutgers, The State University of New Jersey; Kamau Pierre, Rutgers, The State University of New Jersey; Ioannis P. Androulakis, Rutgers, The State University of New Jersey
291e
Application of Machine Learning and Active Learning to Enhance Chemical Yields in Microbes
Prashant Kumar, University of Wisconsin-Madison; Paul Adamczyk, DOE Great Lakes Bioenergy Research Center; Xiaolin Zhang, University of Wisconsin Madison; Parmeswaran Ramanathan, University of Wisconsin-Madison; Jennifer Reed, University of Wisconsin-Madison
291f
In silico and in vitro Analysis of Energy Conservation and Bifurcating Enzymes in Clostridium Thermocellum
Zackary Jay, Montana State University; Katherine J. Chou, National Renewable Energy Laboratory; Kristopher A. Hunt, Montana State University; Maness Pin-Ching, National Renewable Energy; Ross P. Carlson, Montana State University
291g
Model-Guided Engineering of Microbial Biocatalysts
Jennifer Reed, University of Wisconsin-Madison
Abstract Submissions Closed
See more of this Group/Topical: Food, Pharmaceutical & Bioengineering Division
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