Search Results - Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models

Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models

Authors: Aslak Tveito Glenn T. Lines

Resource Type: eBook.

Subjects: Computer science--Mathematics, Computer graphics, Mathematics

Categories: MATHEMATICS / Applied, COMPUTERS / Image Processing, COMPUTERS / Computer Science, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, MEDICAL / Research

Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models

Authors: Tveito, Aslak Lines, Glenn T.

Subject Terms: Computational Science and Engineering, Biomedicine general, Computer Imaging, Vision, Pattern Recognition and Graphics, Management of specific areas, Energy industries and utilities, Information technology industries, Medical equipment and techniques, Earth Sciences, Geography, Environment, Planning, History of engineering and technology, Biochemical engineering, Collecting coins, banknotes, medals and other related items

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Relation: Lecture Notes in Computational Science and Engineering

Access URL: http://library.oapen.org/handle/20.500.12657/28065

Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models

Authors: Tveito, Aslak Lines, Glenn T.

Source: Lecture Notes in Computational Science and Engineering ISBN: 9783319300290

Subject Terms: thema EDItEUR::R Earth Sciences, Geography, Environment, Planning, Agentes neuroprotectores, Biomedicine general, thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries, Computer Imaging, Vision, Pattern Recognition and Graphics, thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques, thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering, Agentes nootrópicos, Computational Science and Engineering, thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities, thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology, Medicamentos, thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJM Management and management techniques::KJMV Management of specific areas, thema EDItEUR::W Lifestyle, Hobbies and Leisure::WC Antiques, vintage and collectables::WCF Collecting coins, banknotes, medals and other related items, Computer Imaging

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Access URL: https://link.springer.com/content/pdf/10.1007%2F978-3-319-30030-6.pdf
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Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models

Authors: Tveito, Aslak. author. Lines, Glenn T. author. SpringerLink (Online service)

Index Terms: Mathematics., Computer graphics., Computer mathematics., Computational Science and Engineering., Biomedicine general., Computer Imaging, Vision, Pattern Recognition and Graphics., Text

URL: http://dspace.conacyt.gov.py/xmlui/handle/123456789/17009
Springer eBooks
Lecture Notes in Computational Science and Engineering, 1439-7358 ; 111
http://cicco.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-319-30030-6

Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models

Authors: Tveito, Aslak Lines, Glenn T.

Subject Terms: Computational Science and Engineering, Biomedicine general, Computer Imaging, Vision, Pattern Recognition and Graphics, thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJM Management and management techniques::KJMV Management of specific areas, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries, thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques, thema EDItEUR::R Earth Sciences, Geography, Environment, Planning, thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology, Industrial processes::TC Biochemical engineering, thema EDItEUR::W Lifestyle, Hobbies and Leisure::WC Antiques, vintage and collectables::WCF Collecting coins, banknotes, medals and other related items

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Relation: Lecture Notes in Computational Science and Engineering; 1001929; OCN: 1083016050; http://library.oapen.org/handle/20.500.12657/28065; https://library.oapen.org/bitstream/20.500.12657/28065/1/1001929.pdf

Availability: http://library.oapen.org/handle/20.500.12657/28065
https://hdl.handle.net/20.500.12657/28065
https://directory.doabooks.org/handle/20.500.12854/28702
https://hdl.handle.net/20.500.12854/28702
https://library.oapen.org/bitstream/20.500.12657/28065/1/1001929.pdf

The Pentameric Ligand-Gated Ion Channel Family: A New Member of the Voltage Gated Ion Channel Superfamily?

Authors: Dubey, Aditi Baxter, Madison Hendargo, Kevin J. et al.

Source: International Journal of Molecular Sciences; May2024, Vol. 25 Issue 9, p5005, 20p

Subject Terms: LIGAND-gated ion channels, VOLTAGE-gated ion channels, ION channels, HIDDEN Markov models, VOLTAGE

DeepGANnel: Synthesis of fully annotated single molecule patch-clamp data using generative adversarial networks.

Authors: Ball, Sam T. M. Celik, Numan Sayari, Elaheh et al.

Source: PLoS ONE; 5/10/2022, Vol. 17 Issue 5, p1-18, 18p

Subject Terms: GENERATIVE adversarial networks, SINGLE molecules, ION channels, PROBABILISTIC generative models, HIDDEN Markov models, MACHINE learning, TIME series analysis

A Prototypical Model of an Ion Channel

Authors: Tveito, Aslak Lines, Glenn T.

Source: Lecture Notes in Computational Science and Engineering ; Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models ; page 153-164 ; ISSN 1439-7358 2197-7100 ; ISBN 9783319300290 9783319300306

Availability: http://dx.doi.org/10.1007/978-3-319-30030-6_10
http://link.springer.com/content/pdf/10.1007/978-3-319-30030-6_10

Inactivated Ion Channels: Extending the Prototype Model

Authors: Tveito, Aslak Lines, Glenn T.

Source: Lecture Notes in Computational Science and Engineering ; Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models ; page 165-175 ; ISSN 1439-7358 2197-7100 ; ISBN 9783319300290 9783319300306

Availability: http://dx.doi.org/10.1007/978-3-319-30030-6_11
http://link.springer.com/content/pdf/10.1007/978-3-319-30030-6_11

Hidden Markov analysis of improved bandwidth mechanosensitive ion channel data.

Authors: Almanjahie, Ibrahim Khan, R. Milne, Robin et al.

Source: European Biophysics Journal; Oct2015, Vol. 44 Issue 7, p545-556, 12p

Subject Terms: ESCHERICHIA coli, ION channels, BANDWIDTHS, HIDDEN Markov models, PARAMETER estimation, EXPECTATION-maximization algorithms

Computing Theoretical Drugs in the Two-Dimensional Case

Authors: Tveito, Aslak Lines, Glenn T.

Source: Lecture Notes in Computational Science and Engineering ; Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models ; page 109-118 ; ISSN 1439-7358 2197-7100 ; ISBN 9783319300290 9783319300306

Availability: http://dx.doi.org/10.1007/978-3-319-30030-6_6
http://link.springer.com/content/pdf/10.1007/978-3-319-30030-6_6

Action Potentials: Summing Up the Effect of Loads of Ion Channels

Authors: Tveito, Aslak Lines, Glenn T.

Source: Lecture Notes in Computational Science and Engineering ; Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models ; page 237-255 ; ISSN 1439-7358 2197-7100 ; ISBN 9783319300290 9783319300306

Availability: http://dx.doi.org/10.1007/978-3-319-30030-6_15
http://link.springer.com/content/pdf/10.1007/978-3-319-30030-6_15

A Simple Model of the Sodium Channel

Authors: Tveito, Aslak Lines, Glenn T.

Source: Lecture Notes in Computational Science and Engineering ; Computing Characterizations of Drugs for Ion Channels and Receptors Using Markov Models ; page 177-191 ; ISSN 1439-7358 2197-7100 ; ISBN 9783319300290 9783319300306

Availability: http://dx.doi.org/10.1007/978-3-319-30030-6_12
http://link.springer.com/content/pdf/10.1007/978-3-319-30030-6_12

Identification of hidden Markov models for ion channel...

Authors: Venkataramanan, Lalitha Kuc, Roman Sigworth, Fred J.

Source: IEEE Transactions on Signal Processing; Jul98, Vol. 46 Issue 7, p1916, 14p, 2 Diagrams, 2 Charts

Subject Terms: MARKOV processes, ION channels

Adaptive learning algorithms for Nernst potential and I-V curves in nerve cell membrane ion channels modeled as hidden Markov models.

Authors: Krishnamurthy, V. Shin-Ho Chung

Source: IEEE Transactions on NanoBioscience; Dec2003, Vol. 2 Issue 4, p266-278, 13p

Computational biology in the study of cardiac ion channels and cell electrophysiology.

Authors: Yoram Rudy Jonathan R. Silva

Source: Quarterly Reviews of Biophysics; Apr2006, Vol. 39 Issue 1, p57-116, 60p

Subject Terms: COMPUTATIONAL biology, ION channels, ELECTROPHYSIOLOGY, HEART cells, PHYSIOLOGICAL effects of electricity, ACTION potentials

Optimizing experimental designs for model selection of ion channel drug-binding mechanisms.

Authors: Patten-Elliott, Frankie Lei, Chon Lok Preston, Simon P. et al.

Source: Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences; 3/1/2025, Vol. 383 Issue 2292, p1-19, 19p

Subject Terms: DOSAGE forms of drugs, ION channels, BIOLOGICAL systems, HUMAN genes, EXPERIMENTAL design

Inhibitory Effects of Cenobamate on Multiple Human Cardiac Ion Channels and Possible Arrhythmogenic Consequences.

Authors: Mateias, Andreea Larisa Armasescu, Florian Amuzescu, Bogdan et al.

Source: Biomolecules (2218-273X); Dec2024, Vol. 14 Issue 12, p1582, 19p

Subject Terms: SEIZURES (Medicine), ACTION potentials, VENTRICULAR arrhythmia, ANTICONVULSANTS, PATHOLOGY, ION channels

Molecular permeation through large pore channels: computational approaches and insights.

Authors: Kumar, Deepak Harris, Andrew L. Luo, Yun Lyna

Source: Journal of Physiology; Aug2025, Vol. 603 Issue 15, p4163-4177, 15p

Subject Terms: MOLECULAR dynamics, MOLECULAR interactions, QUANTITATIVE research, EXPERIMENTAL design, PERMEABILITY, TRANSPORT theory, POROSITY, ION channels

Computational methods for unlocking the secrets of potassium channels: Structure, mechanism, and drug design.

Authors: Wang, Lingling Zhang, Qianqian Tong, Henry H. Y. et al.

Source: WIREs: Computational Molecular Science; Jan/Feb2024, Vol. 14 Issue 1, p1-32, 32p

Subject Terms: POTASSIUM channels, ION channels, DRUG design, ION transport (Biology), STATISTICAL mechanics, MOLECULAR dynamics, ACTION potentials, ATRIAL arrhythmias