Search results: Found 1

Listing 1 - 1 of 1
Sort by
Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models

Authors: ---
Book Series: Lecture Notes in Computational Science and Engineering ISSN: 1439-7358 ISBN: 9783319300290 9783319300306 Year: Volume: 111 Pages: 261 DOI: 10.1007/978-3-319-30030-6 Language: English
Publisher: Springer Nature
Subject: Business and Management --- Geology --- Earth Sciences --- Computer Science --- Electrical and Nuclear Engineering --- Biotechnology --- Internal medicine --- Medical technology --- Therapeutics --- General and Civil Engineering
Added to DOAB on : 2017-02-15 18:39:18

Export citation

Choose an application


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.

Listing 1 - 1 of 1
Sort by
Narrow your search


Springer Nature (1)


CC by-nc (1)


english (1)

From To Submit

2016 (1)