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In the present work, we assess the ability of five methods to retrieve similar protein surfaces, using either their shape only (3D meshes), or their shape and the electrostatic potential at their surface ... Proteins are essential to nearly all cellular mechanism, and often interact through their surface with other cell molecules, such as proteins and ligands. ... Acknowledgments The authors thank the 3DOR 2021 Workshop organizing committee for maintaining this workshop despite the current COVID-19 pandemic. F. Langenfeld, L. Sirugue and M. ...doi:10.2312/3dor.20211308 fatcat:77a6vuyr5jdkzpehp35ojy4ccq
In this paper, we have evaluated seven different methods of finding and classifying proteins. ... We show that learning-based approaches can achieve notably better localization and classification performance than TM. ... https://diglib.eg.org https://www.eg.org © 2021 The Author(s) Eurographics Proceedings © 2021 The Eurographics Association. ...doi:10.2312/3dor.20211307 fatcat:4ogenb2jmzhq3pi52fjf2sknzq
This paper presents the methods that have participated in the SHREC 2021 contest on retrieval and classification of protein surfaces on the basis of their geometry and physicochemical properties. ... Retrieval and classification performances, with respect to the single protein or the existence of common sub-sequences, are analysed according to a number of information retrieval indicators. ... This project is co-funded by the project "TEACUP: Metodi e TEcniche innovative per lo sviluppo di librerie per la modellazione, l'Analisi e il confronto CompUtazionale di Proteine", POR FSE, Programma ...arXiv:2105.05221v1 fatcat:ooj7logkevbxbpljqwjszjex54
paradigm towards a protein structure-surface(s)-function paradigm. ... This work illustrates the interest for the protein surface shape as a higher-level representation of the protein structure that 1) abstracts the underlying protein sequence, structure or fold, 2) allows ... guest on 12 July 2021 Table 4 . ...doi:10.1093/bioinformatics/btab511 pmid:34247232 pmcid:PMC8652110 fatcat:zry564cz3rfwvnsmcuowi5cow4
Based on this new graph representation, we then design a densely connected graph convolutional block which aggregates local and regional features as the key construction component to build effective and ... Paraboschi, Shape retrieval contest 2007: Water- tight models track, SHREC competition 8 (7). 32 ... and retrieval tasks by combining CNN and GCN. ...arXiv:2106.15778v1 fatcat:bja4cmbuxvd33p6aogftfpwqeq
We go beyond the retrieval of models or surface patches in a collection of models, facing the recognition of geometric patterns across digital models with different overall shape. ... Finally, the recognition of patterns adds a further perspective in the exploration of (large) 3D data collections, especially in the cultural heritage domain. ... 3D retrieval) and in generic or domain specific models (CAD, biometrics, architectural, protein, etc.). ...doi:10.15167/moscoso-thompson-elia_phd2021-03-29 fatcat:5o33whvppre6zbazjikovssvnm