Life: An Introduction to Complex Systems Biology by Kunihiko Kaneko

By Kunihiko Kaneko

This booklet examines existence now not from the reductionist viewpoint, yet particularly asks the questions: what are the common homes of residing platforms, and the way can one build from there a phenomenological conception of existence that leads obviously to advanced strategies akin to reproductive mobile structures, evolution and differentiation? The presentation is comparatively non-technical to entice a vast spectrum of scholars and researchers.

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Here we see spontaneity in its most rudimentary form. In general, the behavior of a living creature is not uniquely determined by its genes and the environmental conditions to which it is subject. Each individual also carries with it the effect of its personal history. At any time, its internal state depends not only on its genes and environment but also on this history. Then, the behavior that it displays at any given time depends on this internal state. Even the behavior of a single cell is not determined completely by its genes and environment but also depends on its physiological condition.

As another example, it is known that there is a mechanism through which the presence of just a few molecules at a cell receptor can be amplified into a recognizable signal. It is also important here to note that living systems have the characteristic ability of reproduction. In other words, they have the ability to increase the number of molecules and cells. Such increase implies the existence of an amplification mechanism. In order to make cell division possible, it is first necessary that within the cell there take place chemical reactions through which the number of each of the various types of molecules essentially doubles.

It is then in vain, for example, to attempt to fit as accurately as possible, say, 1,000 coupled differential equations describing processes that each contains some significant percentage of fluctuations. 5 The Essential Difficulty Involved in Constructing That Precisely Describe Biological Phenomena When studying a simple system that can be described with just a few variables, it is often possible to precisely determine a unique fundamental relation between these variables that can account for experimental data.

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