SHREC 2021: surface-based protein domains retrieval

Archive ouverte : Communication dans un congrès

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

Edité par HAL CCSD

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.. International audience. 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.

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