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In order to understand life phenomena you have to combine : One of the ultimate goal of life science is to gain a comprehensive understanding of the cell, the smallest unit of life. Realistically speaking, however, it is probably impossible for human intelligence to map out how the metabolites inside of the cell act, because understanding the cell means knowing how each part functions in coordination with the system as a whole, and under what conditions, and how much change occurs. Just thinking about how the thousands of metabolites in different locations inside of the cell interact, under these conditions, is enough to make you dizzy. Whether or not computer simulation is the most appropriate way of doing this, I think that at present time there are no other options. It is also important to conduct experiments for the sake of quantification and simulation of the dynamic changes in cells. In short, various information is required for making models of cells by computer, and this information can only be corroborated experimentally. Biology is set to become highly quantitative in the 21st century. It will become a computer-intensive discipline. Software infrastructure is another critical component of system biology research. Although attempts have been made to build simulation software and to make use of the many analysis and computing packages originally designed for general engineering purposes, there is no common infrastructure or standard to enable integration of these resources : How quickly data can be written to your hard drive ? about 435,000 million bits a second. Electron pulses lasting 2.3 picoseconds or less are too short to reliably record a bit of computer information. But such a rate is still a thousand times faster than we can achieve in state-of-the-art magnetic devices today.
information theory : a system for analyzing, chiefly by statistical methods, the characteristics of communicated messages and the systems that encode, transmit, distort, receive, and decode them.

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