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• W2102154359 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 system1 developed in our laboratory is introduced. Finally, our strategy for building a “whole cell metabolism model”, including the experimental approach, is presented." @default.
• W2102154359 created "2016-06-24" @default.
• W2102154359 creator A5015575713 @default.
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• W2102154359 creator A5091009034 @default.
• W2102154359 date "2004-09-01" @default.
• W2102154359 modified "2023-10-17" @default.
• W2102154359 title "Toward large-scale modeling of the microbial cell for computer simulation" @default.
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