| 书目名称 | Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models |
| 编辑 | Aslak Tveito,Glenn T. Lines |
| 视频video | |
| 概述 | Offers an accessible introduction to an important theory in a field of.growing relevance.Includes complete.details of models and methods, enabling the reader to implement and study the.models under co |
| 丛书名称 | Lecture Notes in Computational Science and Engineering |
| 图书封面 |  |
| 描述 | .Flow of ions through voltage gatedchannels can be represented theoretically using stochastic differentialequations where the gating mechanism is represented by a Markov model. The flow through achannel can be manipulated using various drugs, and the effect of a given drugcan be reflected bychanging the Markov model. These lecture notes provide an accessibleintroduction to the mathematical methods needed to deal with these models. They emphasize the use ofnumerical methods and provide sufficient details for the reader to implementthe models and thereby study the effect of various drugs. Examples in thetext include stochastic calcium release from internal storage systems in cells,as well as stochasticmodels of the transmembrane potential. Well known Markov models are studied anda systematic approach toincluding the effect of mutations is presented. Lastly, the book shows how to derive the optimal propertiesof a theoretical model of a drug for a given mutation defined in termsof a Markov model.. |
| 出版日期 | Book‘‘‘‘‘‘‘‘ 2016 |
| 关键词 | differential equations; stochastic models; ion channels; drug modelling; probability density functions |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-30030-6 |
| isbn_softcover | 978-3-319-80708-9 |
| isbn_ebook | 978-3-319-30030-6Series ISSN 1439-7358 Series E-ISSN 2197-7100 |
| issn_series | 1439-7358 |
| copyright | The Editor(s) (if applicable) and the Author(s) 2016 |
发表于 2025-3-21 17:45:59
