SHREC2024: Non-rigid Complementary Shapes Retrieval in Protein-protein Interactions

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dc.contributor.authorYacoub, Taheren_US
dc.contributor.authorZarubina, Nikaen_US
dc.contributor.authorDepenveiller, Camilleen_US
dc.contributor.authorNguyen, Hoang-Phucen_US
dc.contributor.authorVong, Vinh-Toanen_US
dc.contributor.authorTran, Minh-Trieten_US
dc.contributor.authorKagaya, Yukien_US
dc.contributor.authorNakamura, Tsukasaen_US
dc.contributor.authorKihara, Daisukeen_US
dc.contributor.authorLangenfeld, Florenten_US
dc.contributor.authorMontes, Matthieuen_US
dc.contributor.editorBiasotti, Silviaen_US
dc.contributor.editorBustos, Benjaminen_US
dc.contributor.editorSchreck, Tobiasen_US
dc.contributor.editorSipiran, Ivanen_US
dc.contributor.editorVeltkamp, Remco C.en_US
dc.date.accessioned2024-08-20T08:25:19Z
dc.date.available2024-08-20T08:25:19Z
dc.date.issued2024
dc.description.abstractThe aim of this SHREC 2024 track is to compare different algorithms for retrieving non-rigid complementary shape pairs, applied in the context of 3D objects being more complex (e.g. with many folds and roughness) such as proteins. The dataset used for this benchmark is based on 52 selected protein-protein complexes for which an experimental structure is publicly available. One of the main difficulties of this challenge is the non-inclusion of the shapes derived from the ground truth conformations in the dataset. Different metrics were used to evaluate the retrieval performance (nearest-neighbor, first-tier, second-tier, and true positives) and to evaluate the quality of the predicted poses (TM-score, lDDT, ICS, IPS and DockQ - those metrics are classically used in the Critical Assessment of PRediction of Interactions challenges). Two teams took part in this challenge and were able to return the expected results. This paper discusses these results and prospects of retrieval methods based only on the protein shape information in the absence of atomic data, in a large context of protein-protein docking.en_US
dc.description.sectionheadersShort Papers
dc.description.seriesinformationEurographics Workshop on 3D Object Retrieval
dc.identifier.doi10.2312/3dor.20241173
dc.identifier.isbn978-3-03868-242-4
dc.identifier.issn1997-0471
dc.identifier.pages8 pages
dc.identifier.urihttps://doi.org/10.2312/3dor.20241173
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/3dor20241173
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Applied computing → Molecular structural biology; Bioinformatics; Computing methodologies → Shape analysis
dc.subjectApplied computing → Molecular structural biology
dc.subjectBioinformatics
dc.subjectComputing methodologies → Shape analysis
dc.titleSHREC2024: Non-rigid Complementary Shapes Retrieval in Protein-protein Interactionsen_US
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