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What is modeling and simulation of biological networks?
Molecular biology has undergone a dramatic revolution during the second half of the twentieth century, beginning with the discovery of the structure of DNA. Since then a series of technological advances has given experimentalists the ability to make ever-more detailed measurements of an increasing number of molecular components of the cell. DNA microarrays, for instance, are small silicon chips spotted with short segments of DNA that can be used to measure the activity levels of thousands of different genes in tissue samples simultaneously.
Soon it might be possible to make large-scale quantitative measurements
in a single cell. Being able to take such global snapshots of molecular
processes has opened up the possibility of studying the changes that are
constantly going on in cells as a coherent dynamical system with
intricately interacting parts, rather than studying the parts in
isolation. Similar developments in other fields of biology have
revolutionized the availability of system wide data. Thus, the new field
of systems biology has emerged. It makes heavy use of mathematical
tools for modeling and simulation.
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