DocumentCode :
838450
Title :
Computational challenges in cell simulation: a software engineering approach
Author :
Takahashi, Kouichi ; Yugi, Katsuyuki ; Hashimoto, Kenta ; Yamada, Yohei ; Pickett, Christopher J F ; Tomita, Masaru
Author_Institution :
Keio Univ., Kanagawa, Japan
Volume :
17
Issue :
5
fYear :
2002
Firstpage :
64
Lastpage :
71
Abstract :
Molecular biology´s advent in the 20th century has exponentially increased our knowledge about the inner workings of life. We have dozens of completed genomes and an array of high-throughput methods to characterize gene encodings and gene product operation. The question now is how we will assemble the various pieces. In other words, given sufficient information about a living cell´s molecular components, can we predict its behavior? We introduce the major classes of cellular processes relevant to modeling, discuss software engineering´s role in cell simulation, and identify cell simulation requirements. Our E-Cell project aims to develop the theories, techniques, and software platforms necessary for whole-cell-scale modeling, simulation, and analysis. Since the project´s launch in 1996, we have built a variety of cell models, and we are currently developing new models that vary with respect to species, target subsystem, and overall scale.
Keywords :
biology computing; cellular biophysics; digital simulation; molecular biophysics; object-oriented methods; software engineering; E-Cell project; cell simulation; molecular biology; object-oriented design; software engineering; whole-cell-scale modeling; Analytical models; Assembly; Bioinformatics; Biological information theory; Biological system modeling; Biology computing; Computational modeling; Encoding; Genomics; Software engineering;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/MIS.2002.1039834
Filename :
1039834
Link To Document :
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