Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models
Language: English
Published by Springer International Publishing, 2018
Series: Book 83 of 111 - Lecture Notes in Computational Science and Engineering
- Softcover
- New
Condition: New
£ 42.46
Quantity: Over 20 available
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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers an accessible introduction to an important theory in a field ofgrowing relevanceIncludes completedetails of models and methods, enabling the reader to implement and study themodels under considerationPursues a systematicappro.
Seller Inventory # 448755742
- Title
- Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models
- Author
- Aslak Tveito|Glenn T. Lines
- Publisher
- Springer International Publishing
- Publication year
- 2018
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3319807080
- ISBN 13
- 9783319807089
- Series
- Book 83 of 111: Lecture Notes in Computational Science and Engineering
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
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.
"Synopsis" may belong to another edition of this title.
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