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

- 3 Citations
- 2 Mentions
- 42k Downloads

Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 111)

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- 3 Citations
- 2 Mentions
- 42k Downloads

Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 111)

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.

differential equations stochastic models ion channels drug modelling probability density functions

- DOI https://doi.org/10.1007/978-3-319-30030-6
- Copyright Information The Editor(s) (if applicable) and the Author(s) 2016
- License CC BY-NC
- Publisher Name Springer, Cham
- eBook Packages Mathematics and Statistics
- Print ISBN 978-3-319-30029-0
- Online ISBN 978-3-319-30030-6
- Series Print ISSN 1439-7358
- Series Online ISSN 2197-7100
- Buy this book on publisher's site