Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models

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Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models
Springer | Mathematics | May 21, 2016 | ISBN-10: 3319300296 | 261 pages | pdf | 7.17 mb

Authors: Tveito, Aslak, Lines, Glenn T.
Offers an accessible introduction to an important theory in a field of growing relevance
Includes complete details of models and methods, enabling the reader to implement and study the models under consideration
Pursues a systematic approach to studying stochastic release mechanisms where the gating is governed by a Markov model

Flow of ions through voltage gated channels can be represented theoretically using stochastic differential equations where the gating mechanism is represented by a Markov model. The flow through a channel can be manipulated using various drugs, and the effect of a given drug can be reflected by changing the Markov model. These lecture notes provide an accessible introduction to the mathematical methods needed to deal with these models. They emphasize the use of numerical methods and provide sufficient details for the reader to implement the models and thereby study the effect of various drugs. Examples in the text include stochastic calcium release from internal storage systems in cells, as well as stochastic models of the transmembrane potential. Well known Markov models are studied and a systematic approach to including the effect of mutations is presented. Lastly, the book shows how to derive the optimal properties of a theoretical model of a drug for a given mutation defined in terms of a Markov model.

Number of Illustrations and Tables
99 b/w illustrations, 30 illustrations in colour
Topics
Computational Science and Engineering
Biomedicine (general)
Computer Imaging, Vision, Pattern Recognition and Graphics

9783319300290
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