Date |
September 10, 2007 |
Speaker |
Dr. Kazuharu Arakawa, Institute for Advanced Biosciences, Graduate School of Media and Governance, Keio University
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Title |
Comprehensive modeling environment for the simulation of whole-cell
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Abstract |
Central to the post-genomic researches is the integrative
understanding of living systems through systems biology approach, which
requires mathematical formulation of the subject through a process
called "modeling". Modeling in systems biology consists of four stages:
1. qualitative modeling of intracellular networks with omics data, 2.
quantitative modeling through mathematical formulation of dynamical
reactions, 3. cellular programming in model mark-up languages such as
SBML in order to simulate the model, and 4. evaluations of the
simulation results for the reconstruction of models. Currently most of
these modeling practices are manually conducted, which becomes a major
bottleneck in systems biology researches.
For this purpose, we have developed an automated software system
designated the GEM System for the modeling of metabolic pathways in
bacteria, which reconstructs large-scale qualitative pathway models
ready for metabolic flux analysis, by integrating omics data utilizing
KEGG database as its basis. We are currently extending the modeling
system to include quantitative information with high-throughput
quantitative experimental data and database of mathematical models
(E-Cell in silico model database), generating dynamical models ready
for simulation experiments using software systems such as E-Cell
Simulation Environment. In this talk, I will also introduce related
researches in the E-Cell Project.
References;
1. Arakawa K, et al., GEM System: Automatic prototyping of cell-wide
metabolic pathway models from genomes, BMC Bioinformatics, 2006,
7:168
2. Arakawa K, Tomita M, G-language System as a platform for large-scale
analysis of high-throughput omics data, Journal of Pesticide Science,
2006, 31(3):282-288
3. Ishii N, et al., Multiple High-Throughput Analyses Monitor the
Response of E. coli to Perturbations, Science, 2007, 316(5824):
593-597
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