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

descriptionPublicationkeyboard_double_arrow_right Book 01 Jan 2016Publisher:Springer International Publishing
Authors: Tveito, Aslak; Lines, Glenn T.;

doi: 10.1007/978-3-319-30030-6

handle: 20.500.12010/18751 , 20.500.12854/28702

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

Abstract

Computational Science and Engineering; Biomedicine general; Computer Imaging, Vision, Pattern Recognition and Graphics

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Keywords

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

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 11
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Average
Green
hybrid