SHREC 2021: surface-based protein domains ...
Type de document :
Communication dans un congrès avec actes
Titre :
SHREC 2021: surface-based protein domains retrieval
Auteur(s) :
Langenfeld, Florent [Auteur]
Aderinwale, Tunde [Auteur]
Christoffer, Charles [Auteur]
Shin, Woong-Hee [Auteur]
Terashi, Genki [Auteur]
Wang, Xiao [Auteur]
Kihara, Daisuke [Auteur]
Benhabiles, Halim [Auteur]
JUNIA [JUNIA]
Bio-Micro-Electro-Mechanical Systems - IEMN [BIOMEMS - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Hammoudi, Karim [Auteur]
Institut de Recherche en Informatique Mathématiques Automatique Signal - IRIMAS - UR 7499 [IRIMAS]
Cabani, Adnane [Auteur]
Université de Strasbourg [UNISTRA]
École Supérieure d’Ingénieurs en Génie Électrique [ESIGELEC]
Moulla Windal, Feryal [Auteur]
JUNIA [JUNIA]
Bio-Micro-Electro-Mechanical Systems - IEMN [BIOMEMS - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Melkemi, Mahmoud [Auteur]
Université de Strasbourg [UNISTRA]
Institut de Recherche en Informatique Mathématiques Automatique Signal - IRIMAS - UR 7499 [IRIMAS]
Otu, Ekpo [Auteur]
Zwiggelaar, Reyer [Auteur]
Hunter, David [Auteur]
Liu, Yonghuai [Auteur]
Sirugue, Léa [Auteur]
Nguyen Huu-Nghia, H. [Auteur]
Nguyen Tuan-Duy, H. [Auteur]
Nguyen–truong, Vinh-Thuyen [Auteur]
Le, Danh [Auteur]
Nguyen, Hai-Dang [Auteur]
Tran, Minh-Triet [Auteur]
Montès, Matthieu [Auteur]
Aderinwale, Tunde [Auteur]
Christoffer, Charles [Auteur]
Shin, Woong-Hee [Auteur]
Terashi, Genki [Auteur]
Wang, Xiao [Auteur]
Kihara, Daisuke [Auteur]
Benhabiles, Halim [Auteur]

JUNIA [JUNIA]
Bio-Micro-Electro-Mechanical Systems - IEMN [BIOMEMS - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Hammoudi, Karim [Auteur]
Institut de Recherche en Informatique Mathématiques Automatique Signal - IRIMAS - UR 7499 [IRIMAS]
Cabani, Adnane [Auteur]
Université de Strasbourg [UNISTRA]
École Supérieure d’Ingénieurs en Génie Électrique [ESIGELEC]
Moulla Windal, Feryal [Auteur]
JUNIA [JUNIA]
Bio-Micro-Electro-Mechanical Systems - IEMN [BIOMEMS - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Melkemi, Mahmoud [Auteur]
Université de Strasbourg [UNISTRA]
Institut de Recherche en Informatique Mathématiques Automatique Signal - IRIMAS - UR 7499 [IRIMAS]
Otu, Ekpo [Auteur]
Zwiggelaar, Reyer [Auteur]
Hunter, David [Auteur]
Liu, Yonghuai [Auteur]
Sirugue, Léa [Auteur]
Nguyen Huu-Nghia, H. [Auteur]
Nguyen Tuan-Duy, H. [Auteur]
Nguyen–truong, Vinh-Thuyen [Auteur]
Le, Danh [Auteur]
Nguyen, Hai-Dang [Auteur]
Tran, Minh-Triet [Auteur]
Montès, Matthieu [Auteur]
Éditeur(s) ou directeur(s) scientifique(s) :
S. Biasotti
R. M. Dyke
Y. Lai
P. L. Rosin
and R C. Veltkamp
R. M. Dyke
Y. Lai
P. L. Rosin
and R C. Veltkamp
Titre de la manifestation scientifique :
3D Shape Retrieval Challenge SHREC 2021 in 14th Eurographics Workshop on 3D Object Retrieval 2021, 3DOR'21
Ville :
online
Pays :
France
Date de début de la manifestation scientifique :
2021-09-02
Titre de l’ouvrage :
Eurographics Proceedings
Titre de la revue :
Proceedings of Eurographics Workshop on 3D Object Retrieval 2021, 3D Shape Retrieval Challenge SHREC 2021
Date de publication :
2021-09
Discipline(s) HAL :
Sciences de l'ingénieur [physics]
Résumé en anglais : [en]
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 ...
Lire la suite >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.Lire moins >
Lire la suite >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.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Commentaire :
Oral. 3DOR is the dedicated workshop series for methods, applications and benchmark-based evaluation of 3D object retrieval, classification, and similarity-based object processing. The workshop also includes the 2021 edition of the 3D Shape Retrieval Challenge (SHREC). Accepted full papers will be published in Computers & Graphics Journal (Elsevier), and accepted short papers will appear in the Eurographics Digital Library.
Source :