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dc.contributor.authorLangenfeld, Florenten_US
dc.contributor.authorAxenopoulos, Apostolosen_US
dc.contributor.authorBenhabiles, Halimen_US
dc.contributor.authorDaras, Petrosen_US
dc.contributor.authorGiachetti, Andreaen_US
dc.contributor.authorHan, Xusien_US
dc.contributor.authorHammoudi, Karimen_US
dc.contributor.authorKihara, Daisukeen_US
dc.contributor.authorLai, Tuan M.en_US
dc.contributor.authorLiu, Haiguangen_US
dc.contributor.authorMelkemi, Mahmouden_US
dc.contributor.authorMylonas, Stelios K.en_US
dc.contributor.authorTerashi, Genkien_US
dc.contributor.authorWang, Yufanen_US
dc.contributor.authorWindal, Feryalen_US
dc.contributor.authorMontes, Matthieuen_US
dc.contributor.editorBiasotti, Silvia and Lavoué, Guillaume and Veltkamp, Remcoen_US
dc.date.accessioned2019-05-04T14:05:59Z
dc.date.available2019-05-04T14:05:59Z
dc.date.issued2019
dc.identifier.isbn978-3-03868-077-2
dc.identifier.issn1997-0471
dc.identifier.urihttps://doi.org/10.2312/3dor.20191058
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/3dor20191058
dc.description.abstractThis track aimed at retrieving protein evolutionary classification based on their surfaces meshes only. Given that proteins are dynamic, non-rigid objects and that evolution tends to conserve patterns related to their activity and function, this track offers a challenging issue using biologically relevant molecules. We evaluated the performance of 5 different algorithms and analyzed their ability, over a dataset of 5,298 objects, to retrieve various conformations of identical proteins and various conformations of ortholog proteins (proteins from different organisms and showing the same activity). All methods were able to retrieve a member of the same class as the query in at least 94% of the cases when considering the first match, but show more divergent when more matches were considered. Last, similarity metrics trained on databases dedicated to proteins improved the results.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleProtein Shape Retrieval Contesten_US
dc.description.seriesinformationEurographics Workshop on 3D Object Retrieval
dc.description.sectionheadersSHREC Session 1
dc.identifier.doi10.2312/3dor.20191058
dc.identifier.pages25-31


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