Please use this identifier to cite or link to this item: http://dx.doi.org/10.18419/opus-15027
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dc.contributor.authorSchatz, Karsten-
dc.contributor.authorFranco‐Moreno, Juan José-
dc.contributor.authorSchäfer, Marco-
dc.contributor.authorRose, Alexander S.-
dc.contributor.authorFerrario, Valerio-
dc.contributor.authorPleiss, Jürgen-
dc.contributor.authorVázquez, Pere‐Pau-
dc.contributor.authorErtl, Thomas-
dc.contributor.authorKrone, Michael-
dc.date.accessioned2024-10-11T11:04:07Z-
dc.date.available2024-10-11T11:04:07Z-
dc.date.issued2021de
dc.identifier.issn1467-8659-
dc.identifier.issn0167-7055-
dc.identifier.other1905959931-
dc.identifier.urihttp://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-150465de
dc.identifier.urihttp://elib.uni-stuttgart.de/handle/11682/15046-
dc.identifier.urihttp://dx.doi.org/10.18419/opus-15027-
dc.description.abstractWhen studying protein‐ligand interactions, many different factors can influence the behaviour of the protein as well as the ligands. Molecular visualisation tools typically concentrate on the movement of single ligand molecules; however, viewing only one molecule can merely provide a hint of the overall behaviour of the system. To tackle this issue, we do not focus on the visualisation of the local actions of individual ligand molecules but on the influence of a protein and their overall movement. Since the simulations required to study these problems can have millions of time steps, our presented system decouples visualisation and data preprocessing: our preprocessing pipeline aggregates the movement of ligand molecules relative to a receptor protein. For data analysis, we present a web‐based visualisation application that combines multiple linked 2D and 3D views that display the previously calculated data The central view, a novel enhanced sequence diagram that shows the calculated values, is linked to a traditional surface visualisation of the protein. This results in an interactive visualisation that is independent of the size of the underlying data, since the memory footprint of the aggregated data for visualisation is constant and very low, even if the raw input consisted of several terabytes.en
dc.description.sponsorshipMinisterio de Economía y Competitividadde
dc.description.sponsorshipDeutsche Forschungsgemeinschaftde
dc.description.sponsorshipCarl‐Zeiss‐Stiftungde
dc.description.sponsorshipProjekt DEALde
dc.language.isoende
dc.relation.uridoi:10.1111/cgf.14386de
dc.rightsinfo:eu-repo/semantics/openAccessde
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/de
dc.subject.ddc004de
dc.subject.ddc540de
dc.subject.ddc570de
dc.titleVisual analysis of large‐scale protein‐ligand interaction dataen
dc.typearticlede
dc.date.updated2023-11-14T02:57:35Z-
ubs.fakultaetChemiede
ubs.fakultaetZentrale Einrichtungende
ubs.fakultaetFakultätsübergreifend / Sonstige Einrichtungde
ubs.institutInstitut für Biochemie und Technische Biochemiede
ubs.institutVisualisierungsinstitut der Universität Stuttgartde
ubs.institutFakultätsübergreifend / Sonstige Einrichtungde
ubs.publikation.seiten394-408de
ubs.publikation.sourceComputer graphics forum 40 (2021), S. 394-408de
ubs.publikation.typZeitschriftenartikelde
Appears in Collections:03 Fakultät Chemie

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