Computing characterizations of drugs for ion channels and receptors using Markov models
type: Item
instance of: scholarly article
title: Computing characterizations of drugs for ion channels and receptors using Markov models
zbMATH Open document ID: 1342.92010
DOI: 10.1007/978-3-319-30030-6
author: Aslak Tveito
author: Glenn Terje Lines
published in: Lecture Notes in Computational Science and Engineering
publication date: 2016-04-13T00:00:00Z
full work available at URL: http://link.springer.com/book/10.1007/978-3-319-30030-6
Mathematics Subject Classification ID: 92-02
Mathematics Subject Classification ID: 92C40
Mathematics Subject Classification ID: 92-08
Mathematics Subject Classification ID: 92C50
Mathematics Subject Classification ID: 60J20
Mathematics Subject Classification ID: 60H10
zbMATH DE Number: 6568003
zbMATH Keywords: Markov model
zbMATH Keywords: voltage gated channels
zbMATH Keywords: stochastic differential equations
zbMATH Keywords: internal storage systems
zbMATH Keywords: transmembrane potential
MaRDI profile type: Publication
OpenAlex ID: W2383092858
description: scientific article; zbMATH DE number 6568003