Computing characterizations of drugs for ion channels and receptors using Markov models

DOI10.1007/978-3-319-30030-6zbMath1342.92010OpenAlexW2383092858MaRDI QIDQ266287

Aslak Tveito, Glenn Terje Lines

Publication date: 13 April 2016

Published in: Lecture Notes in Computational Science and Engineering (Search for Journal in Brave)

Full work available at URL: http://link.springer.com/book/10.1007/978-3-319-30030-6

zbMATH Keywords

stochastic differential equationsMarkov modelinternal storage systemstransmembrane potentialvoltage gated channels

Mathematics Subject Classification ID

Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Medical applications (general) (92C50) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Biochemistry, molecular biology (92C40) Computational methods for problems pertaining to biology (92-08) Research exposition (monographs, survey articles) pertaining to biology (92-02)

Related Items (2)

Computing rates of Markov models of voltage-gated ion channels by inverting partial differential equations governing the probability density functions of the conducting and non-conducting states ⋮ Computing optimal properties of drugs using mathematical models of single channel dynamics

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