Markov models for ion channels: versatility versus identifiability and speed.

Markov models for ion channels: versatility versus identifiability and speed.

Markov models (MMs) represent a generalization of Hodgkin-Huxley models. They provide a versatile structure for modelling single channel data, gating currents, state-dependent drug interaction data, exchanger and pump dynamics, etc. This paper uses examples from cardiac electrophysiology to discuss...

Bibliografske podrobnosti
Main Authors:	Fink, M, Noble, D
Format:	Journal article
Jezik:	English
Izdano:	2009

Podobne knjige/članki

From Brownian Dynamics to Markov Chain: an Ion Channel Example
od: Chen, W, et al.
Izdano: (2012)

From Brownian dynamics to Markov chain: an ion channel example
od: Chen, W, et al.
Izdano: (2012)

CHAP: A versatile tool for the structural and functional annotation of ion channel pores
od: Klesse, G, et al.
Izdano: (2019)

Modelling effects of Sotalol on Action Potential morphology using a novel Markov model of the HERG channel
od: Brennan, T, et al.
Izdano: (2007)

Modelling effects of Sotalol on Action Potential morphology using a novel Markov model of the HERG channel
od: Brennan, T, et al.
Izdano: (2007)

A deep learning approach to real-time Markov modeling of ion channel gating
od: Efthymios Oikonomou, et al.
Izdano: (2024-11-01)

Transcending Markov: non-Markovian rate processes of thermosensitive TRP ion channels
od: Ben-Abu, Y, et al.
Izdano: (2023)

Transcending Markov: Non-Markovian Rate Processes of Thermosensitive TRP Ion Channels
od: Ben-Abu, Y, et al.
Izdano: (2023)

Transcending Markov: non-Markovian rate processes of thermosensitive TRP ion channels
od: Yuval Ben-Abu, et al.
Izdano: (2023-08-01)

A two-channel training algorithm for hidden Markov model to identify visual speech elements
od: Foo, Say Wei, et al.
Izdano: (2009)

Construction of angstrom-scale ion channels with versatile pore configurations and sizes by metal-organic frameworks
od: Xingya Li, et al.
Izdano: (2023-01-01)

Markov state models of proton- and pore-dependent activation in a pentameric ligand-gated ion channel
od: Cathrine Bergh, et al.
Izdano: (2021-10-01)

The versatility of the putative transient receptor potential ion channels in regulating the calcium signaling in Aspergillus nidulans
od: Hongchen Wang, et al.
Izdano: (2023-12-01)

Side Channel Attack By Using Hidden Markov Model
od: Nguyen, L
Izdano: (2015)

Markov models for pattern recognition : from theory to applications/
od: 276429 Fink, Gernot A
Izdano: (2014)

Markov models for pattern recognition : from theory to applications /
od: 276429 Fink, Gernot A
Izdano: (2008)

Ion channels: Growing evidence for the role in disease
od: Han, J, et al.
Izdano: (2010)

Versatile laser-free trapped-ion entangling gates
od: R T Sutherland, et al.
Izdano: (2019-01-01)

Complex versus simple models: ion-channel cardiac toxicity prediction
od: Hitesh B. Mistry
Izdano: (2018-02-01)

Hidden Markov model speed heuristic and iterative HMM search procedure
od: Johnson L Steven, et al.
Izdano: (2010-08-01)

Simulation of multiple ion channel block provides improved early prediction of compounds' clinical torsadogenic risk.
od: Mirams, G, et al.
Izdano: (2011)

Simulation of multiple ion channel block provides improved early prediction of compounds' clinical torsadogenic risk
od: Mirams, G, et al.
Izdano: (2011)

The use of the Markov Models to identify the turning points in the business cycle
od: Monika Kośko
Izdano: (2012-12-01)

TRPM8, a versatile channel in human sperm.
od: Gerardo A De Blas, et al.
Izdano: (2009-06-01)

Burst Ratio in Concatenated Markov-based Channels
od: Jakub Rachwalski, et al.
Izdano: (2014-03-01)

Decoding LDPC Convolutional Codes on Markov Channels
od: Chris Winstead, et al.
Izdano: (2008-04-01)

Decoding LDPC Convolutional Codes on Markov Channels
od: Kashyap Manohar, et al.
Izdano: (2008-01-01)

Delay analysis of multi-state Markov channels
od: Zhiqiang ZHOU, et al.
Izdano: (2016-09-01)

Delay analysis of multi-state Markov channels
od: Zhiqiang ZHOU, et al.
Izdano: (2016-09-01)

Joint source-channel iterative decoding based on hidden markov model
od: YIN Wei-wei, et al.
Izdano: (2006-01-01)

Joint source-channel iterative decoding based on hidden markov model
od: YIN Wei-wei, et al.
Izdano: (2006-01-01)

Identifying target ion channel-related genes to construct a diagnosis model for insulinoma
od: Shuangyang Mo, et al.
Izdano: (2023-09-01)

A Generalized Trotter Operator Splitting Method for Balancing Speedup, Stability, and Accuracy in the Markov Chain Model of Sodium Ion Channels in Ventricular Cells
od: Xingji Chen, et al.
Izdano: (2024-01-01)

Identifying heterogeneous diffusion states in the cytoplasm by a hidden Markov model
od: Joanna Janczura, et al.
Izdano: (2021-01-01)

Photothermally induced natural vibration for versatile and high-speed actuation of crystals
od: Yuki Hagiwara, et al.
Izdano: (2023-03-01)

Short-Term Wind Speed Forecasting Based on Hybrid MODWT-ARIMA-Markov Model
od: Muhammad Uzair Yousuf, et al.
Izdano: (2021-01-01)

Efficiency Estimation of MIMO Communication System Channel Coefficients Based on Markov Model
od: Parshin Yuri, et al.
Izdano: (2016-01-01)

Posterior-based proposals for speeding up Markov chain Monte Carlo
od: C. M. Pooley, et al.
Izdano: (2019-11-01)

Oxidative stress and ion channels in neurodegenerative diseases
od: Razan Orfali, et al.
Izdano: (2024-01-01)

Ultra-high-speed indirect x-ray imaging system with versatile spatiotemporal sampling capabilities
od: Escauriza, E, et al.
Izdano: (2018)