Titlebook: Computational Cell Biology; Christopher P. Fall,Eric S. Marland,John J. Tyson Textbook 2002 Springer Science+Business Media New York 2002

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0939-6047 ls in cell biology. Rather, we use selected biological examples to motivate the concepts and techniques used in computational cell biology. This is done through a progression of increasingly more complex cellular functions modeled with increasingly complex mathematical and c- putational techniques.

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Structure and Change in the Space Economyas local ensembles, as multimodal circuits, and across system levels? Here we only scratch the surface of this fascinating topic. We will focus on electrically active cells; for this, you can have in mind, for example, cardiac cells, many types of secretory cells, and neurons.

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Close Packing and the PTOT System,ent with these transition-state diagrams. But how should we interpret a transition-state diagram when we are considering only a single molecule or a small number of molecules? The short answer to this question is that transition rates can be interpreted as transition probabilities per unit time.

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Modeling the Stochastic Gating of Ion Channelsent with these transition-state diagrams. But how should we interpret a transition-state diagram when we are considering only a single molecule or a small number of molecules? The short answer to this question is that transition rates can be interpreted as transition probabilities per unit time.

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Whole—Cell Models, which we simplify in order to determine the minimal essential elements. One particularly useful simplification technique is to exploit separation of time scales to set fast processes to equilibrium as described in Chapter 4.

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Textbook 2002 biology. Rather, we use selected biological examples to motivate the concepts and techniques used in computational cell biology. This is done through a progression of increasingly more complex cellular functions modeled with increasingly complex mathematical and c- putational techniques. There are

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Dynamic Phenomena in Cells our understanding of dynamic phenomena in cells. Spikes or bursts of plasma membrane electrical activity or intracellular signaling via receptors, second messengers, or other networked biochemical pathways in single cells, or more complex processes that involve small clusters of cells, organelles,

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Voltage Gated Ionic Currents will learn how to model current flowing through ion channels and how to include the feedback regulation of the channel behavior by voltage. But let us be very clear about what we are modeling in this chapter. Only in the most idealized sense are we modeling the behavior of excitable cells like neur