It takes the average reader 4 hours and 22 minutes to read Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models by Aslak Tveito
Assuming a reading speed of 250 words per minute. Learn more
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.
Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models by Aslak Tveito is 261 pages long, and a total of 65,511 words.
This makes it 88% the length of the average book. It also has 80% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 5 hours and 57 minutes to read Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models aloud.
Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
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