SHREC 2021: surface-based protein domains retrieval

Computational biology; General and reference --> Evaluation -->
Jazyk: English
Přístupová URL adresa: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b40e9c691ee18b349676f56d9385968f
https://hal.science/hal-03467479
Rights: OPEN
Přírůstkové číslo: edsair.doi.dedup.....b40e9c691ee18b349676f56d9385968f
Autor: Langenfeld, Florent, Aderinwale, Tunde, Christoffer, Charles, Shin, Woong-Hee, Terashi, Genki, Wang, Xiao, Kihara, Daisuke, Benhabiles, Halim, Hammoudi, Karim, Cabani, Adnane, Windal, Feryal, Melkemi, Mahmoud, Otu, Ekpo, Zwiggelaar, Reyer, Hunter, David, Liu, Yonghuai, Sirugue, Léa, Nguyen, Huu-Nghia H., Nguyen, Tuan-Duy H., Nguyen–Truong, Vinh-Thuyen, Le, Danh, Nguyen, Hai-Dang, Tran, Minh-Triet, Montès, Matthieu
Přispěvatelé: Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Bio-Micro-Electro-Mechanical Systems - IEMN (BIOMEMS - IEMN), Université catholique de Lille (UCL)-Université catholique de Lille (UCL)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA), JUNIA (JUNIA), Université catholique de Lille (UCL), Institut de Recherche en Informatique Mathématiques Automatique Signal - IRIMAS - UR 7499 (IRIMAS), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), École Supérieure d’Ingénieurs en Génie Électrique (ESIGELEC), Université de Strasbourg (UNISTRA), S. Biasotti, R. M. Dyke, Y. Lai, P. L. Rosin, and R C. Veltkamp, Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-JUNIA (JUNIA)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Eurographics Proceedings
3D Shape Retrieval Challenge SHREC 2021 in 14th Eurographics Workshop on 3D Object Retrieval 2021, 3DOR'21
3D Shape Retrieval Challenge SHREC 2021 in 14th Eurographics Workshop on 3D Object Retrieval 2021, 3DOR'21, Sep 2021, online, France. pp.19-26
3D Shape Retrieval Challenge SHREC 2021 in 14th Eurographics Workshop on 3D Object Retrieval 2021
Popis: Proteins are essential to nearly all cellular mechanism, and often interact through their surface with other cell molecules, such as proteins and ligands. The evolution generates plenty of different proteins, with unique abilities, but also proteins with related functions hence surface, which is therefore of primary importance for their activity. 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, an important surface property. Five different groups participated in this challenge using the shape only, and one group extended its pre-existing algorithm to handle the electrostatic potential. The results reveal both the ability of the methods to detect related proteins and their difficulties to distinguish between topologically related proteins.
Eurographics Workshop on 3D Object Retrieval
Short Papers
19
26
Florent Langenfeld, Tunde Aderinwale, Charles Christoffer, Woong-Hee Shin, Genki Terashi, Xiao Wang, Daisuke Kihara, Halim Benhabiles, Karim Hammoudi, Adnane Cabani, Feryal Windal, Mahmoud Melkemi, Ekpo Otu, Reyer Zwiggelaar, David Hunter, Yonghuai Liu, Léa Sirugue, Huu-Nghia H. Nguyen, Tuan-Duy H. Nguyen, Vinh-Thuyen Nguyen–Truong, Danh Le, Hai-Dang Nguyen, Minh-Triet Tran, and Matthieu Montès
CCS Concepts: Applied computing --> Computational biology; General and reference --> Evaluation
Databáze: OpenAIRE