title: Toward large-scale modeling of the microbial cell for computer simulation.
abstract: In the post-genomic era, the large-scale, systematic, and functional analysis of all cellular components using transcriptomics, proteomics, and metabolomics, together with bioinformatics for the analysis of the massive amount of data generated by these "omics" methods are the focus of intensive research activities. As a consequence of these developments, systems biology, whose goal is to comprehend the organism as a complex system arising from interactions between its multiple elements, becomes a more tangible objective. Mathematical modeling of microorganisms and subsequent computer simulations are effective tools for systems biology, which will lead to a better understanding of the microbial cell and will have immense ramifications for biological, medical, environmental sciences, and the pharmaceutical industry. In this review, we describe various types of mathematical models (structured, unstructured, static, dynamic, etc.), of microorganisms that have been in use for a while, and others that are emerging. Several biochemical/cellular simulation platforms to manipulate such models are summarized and the E-Cell system developed in our laboratory is introduced. Finally, our strategy for building a "whole cell metabolism model", including the experimental approach, is presented.
authors.affiliation: Institute for Advanced Biosciences, Keio University, 403-1 Daihoji, Tsuruoka, Yamagata 997-0017, Japan.
authors.forename: Nobuyoshi
authors.initials: N
authors.lastname: Ishii
authors.forename: Martin
authors.initials: M
authors.lastname: Robert
authors.forename: Yoichi
authors.initials: Y
authors.lastname: Nakayama
authors.forename: Akio
authors.initials: A
authors.lastname: Kanai
authors.forename: Masaru
authors.initials: M
authors.lastname: Tomita
mesh_terms: D001709:Biotechnology / Q000379:methods*; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D004926:Escherichia coli / Q000502:physiology; D008954:Models, Biological