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dc.date.accessioned2023-08-22T17:09:34Z
dc.date.available2023-08-22T17:09:34Z
dc.date.created2023-08-04T10:20:14Z
dc.date.issued2023
dc.identifier.citationRaffo, Andrea Fugacci, Ulderico Biasotti, Silvia . GEO-Nav: A geometric dataset of voltage-gated sodium channels. Computers & graphics. 2023, 115, 285-295
dc.identifier.urihttp://hdl.handle.net/10852/103648
dc.description.abstractVoltage-gated sodium (Nav) channels constitute a prime target for drug design and discovery, given their implication in various diseases such as epilepsy, migraine and ataxia to name a few. In this regard, performing morphological analysis is a crucial step in comprehensively understanding their biological function and mechanism, as well as in uncovering subtle details of their mechanism that may be elusive to experimental observations. Despite their tremendous therapeutic potential, drug design resources are deficient, particularly in terms of accurate and comprehensive geometric information. This paper presents a geometric dataset of molecular surfaces that are representative of Nav channels in mammals. For each structure we provide three representations and a number of geometric measures, including length, volume and straightness of the recognized channels. To demonstrate the effective use of GEO-Nav, we have tested it on two methods belonging to two different categories of approaches: a sphere-based and a tessellation-based method.
dc.description.abstractGEO-Nav: A geometric dataset of voltage-gated sodium channels
dc.languageEN
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleGEO-Nav: A geometric dataset of voltage-gated sodium channels
dc.title.alternativeENEngelskEnglishGEO-Nav: A geometric dataset of voltage-gated sodium channels
dc.typeJournal article
dc.creator.authorRaffo, Andrea
dc.creator.authorFugacci, Ulderico
dc.creator.authorBiasotti, Silvia
cristin.unitcode185,15,29,60
cristin.unitnameSeksjon for genetikk og evolusjonsbiologi
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode2
dc.identifier.cristin2164866
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Computers & graphics&rft.volume=115&rft.spage=285&rft.date=2023
dc.identifier.jtitleComputers & graphics
dc.identifier.volume115
dc.identifier.startpage285
dc.identifier.endpage295
dc.identifier.doihttps://doi.org/10.1016/j.cag.2023.06.023
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn0097-8493
dc.type.versionPublishedVersion


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This item's license is: Attribution 4.0 International