Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models
Tveito, Aslak; Lines, Glenn T.
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Description for Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models
Hardback. Series: Lecture Notes in Computational Science and Engineering. Num Pages: 277 pages, 99 black & white illustrations, 30 colour illustrations, biography. BIC Classification: MBGR; PBWL; PDE; UYQV. Category: (G) General (US: Trade). Dimension: 235 x 155 x 18. Weight in Grams: 596.
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 ... Read more
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Format
Hardback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
277
Condition
New
Series
Lecture Notes in Computational Science and Engineering
Number of Pages
261
Place of Publication
Cham, Switzerland
ISBN
9783319300290
SKU
V9783319300290
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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