E-Cell: Computer Simulation of the Cell
Published Online: 15 MAR 2012
Copyright © 2012 Wiley-VCH Verlag GmbH & Co. KGaA
Encyclopedia of Molecular Cell Biology and Molecular Medicine
How to Cite
Dhar, P. K., Takahashi, K., Nakayama, Y. and Tomita, M. 2012. E-Cell: Computer Simulation of the Cell. Encyclopedia of Molecular Cell Biology and Molecular Medicine.
- Published Online: 15 MAR 2012
Cells are massively parallel and massively interactive systems. The grand challenge is to understand their structural and functional design and to use the knowledge acquired to build useful applications. In traditional settings, it was difficult to focus on more than one gene at a time, but recently developed high-throughput technologies have enabled studies to be conducted at the whole organism level. Nevertheless, data from these experiments are often noisy and require a large number of replicates to validate even a single observation. Furthermore, the statistical treatment of high-throughput data is also error-prone. To overcome the physical and conceptual limitations, there is a need to develop strategies and tools to address complex biological problems. Systems Biology studies conducted during the past decade have lent credibility to an in-silico approach for understanding and engineering whole-cell systems. The E-Cell platform has been specifically designed to address network-based problems. The E Cell has been used successfully to create a self-sustaining cell with 127 genes – that is, just stable enough for survival. In this chapter, some of the basic modeling concepts, their importance, the role of E-Cell, and the future challenges of the modeling community, will be discussed.
- Self-supporting cell;
- In-silico modeling;
- Virtual erythrocyte;