Authors:
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computational Science and Engineering (LNCSE, volume 111)
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Table of contents (15 chapters)
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Front Matter
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Back Matter
About this book
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.
Authors and Affiliations
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Center for Biomedical Computing, Simula Research Laboratory, Lysaker, Norway
Aslak Tveito, Glenn T. Lines
Bibliographic Information
Book Title: Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models
Authors: Aslak Tveito, Glenn T. Lines
Series Title: Lecture Notes in Computational Science and Engineering
DOI: https://doi.org/10.1007/978-3-319-30030-6
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and the Author(s) 2016
Hardcover ISBN: 978-3-319-30029-0Published: 20 April 2016
Softcover ISBN: 978-3-319-80708-9Published: 22 April 2018
eBook ISBN: 978-3-319-30030-6Published: 19 April 2016
Series ISSN: 1439-7358
Series E-ISSN: 2197-7100
Edition Number: 1
Number of Pages: XVI, 261
Number of Illustrations: 99 b/w illustrations, 30 illustrations in colour
Topics: Computational Science and Engineering, Biomedicine general, Computer Imaging, Vision, Pattern Recognition and Graphics