E-CELL : software environment for whole-cell simulation

• Published in: Bioinformatics (Oxford, England) England), 1999, Vol.15 (1), p.72-84
• Main Authors: TOMITA, M, HASHIMOTO, K, HUTCHISON, C. A, TAKAHASHI, K, SHIMIZU, T. S, MATSUZAKI, Y, MIYOSHI, F, SAITO, K, TANIDA, S, YUGI, K, VENTER, J. C
• Format: Article
• Language: English
• Subjects: Adenosine Triphosphate - metabolism; Artificial Intelligence; Biological and medical sciences; Cell Physiological Phenomena; Cells - metabolism; Computer Graphics; Computer Simulation; Data Display; Enzymes - metabolism; Fundamental and applied biological sciences. Psychology; Gene Expression; General aspects; Genetic Engineering; Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects); Models, Biological; Protein Binding; Software; Transcription, Genetic; User-Computer Interface
• ISSN: 1367-4803; 1367-4811
• DOI: 10.1093/bioinformatics/15.1.72

Genome sequencing projects and further systematic functional analyses of complete gene sets are producing an unprecedented mass of molecular information for a wide range of model organisms. This provides us with a detailed account of the cell with which we may begin to build models for simulating intracellular molecular processes to predict the dynamic behavior of living cells. Previous work in biochemical and genetic simulation has isolated well-characterized pathways for detailed analysis, but methods for building integrative models of the cell that incorporate gene regulation, metabolism and signaling have not been established. We, therefore, were motivated to develop a software environment for building such integrative models based on gene sets, and running simulations to conduct experiments in silico. E-CELL, a modeling and simulation environment for biochemical and genetic processes, has been developed. The E-CELL system allows a user to define functions of proteins, protein-protein interactions, protein-DNA interactions, regulation of gene expression and other features of cellular metabolism, as a set of reaction rules. E-CELL simulates cell behavior by numerically integrating the differential equations described implicitly in these reaction rules. The user can observe, through a computer display, dynamic changes in concentrations of proteins, protein complexes and other chemical compounds in the cell. Using this software, we constructed a model of a hypothetical cell with only 127 genes sufficient for transcription, translation, energy production and phospholipid synthesis. Most of the genes are taken from Mycoplasma genitalium, the organism having the smallest known chromosome, whose complete 580 kb genome sequence was determined at TIGR in 1995. We discuss future applications of the E-CELL system with special respect to genome engineering. The E-CELL software is available upon request. The complete list of rules of the developed cell model with kinetic parameters can be obtained via our web site at: http://e-cell.org/.