(547a) Towards a Whole-Cell Model of Escherichia Coli
AIChE Annual Meeting
2013
2013 AIChE Annual Meeting
Topical Conference: Systems Biology
In Silico Systems Biology: Cellular and Organismal Models II
Wednesday, November 6, 2013 - 3:15pm to 3:33pm
The ability to predict molecular phenotypes at the genome scale is crucial to understanding biological systems. In an effort to address this need we recently published a gene-complete whole-cell model of Mycoplasma genitalium that computationally represents all functions and interactions of every annotated gene [1]. We now aim to extend the whole-cell modeling methodology to the Gram-negative bacteria Escherichia coli. First we will model several core aspects of E. coli physiology including transcription, translation, RNA/protein decay, replication, and metabolism. We will accomplish this by adapting modules of our M. genitalium model [1] to E. coli physiology, and developing new modules to represent E. coli unique phenomena. Furthermore, we will continue to update and streamline the whole-cell modeling infrastructure, improving tools for whole-cell model data curation, construction, simulation, and exploratory analysis. Once finished, the model will enable researchers to investigate single-cell E. coli physiology.
[1] J.R. Karr*, J.C. Sanghvi*, D.N. Macklin, M.V. Gutschow, J.M. Jacobs, B. Bolival, N. Assad-Garcia, J.I. Glass, M.W. Covert. "A Whole-Cell Computational Model Predicts Phenotype from Genotype". Cell. 2012. 150(2): 389-401