SHREC 2021: Surface-based Protein Domains Retrieval

Abstract
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.
Description

        
@inproceedings{
10.2312:3dor.20211308
, booktitle = {
Eurographics Workshop on 3D Object Retrieval
}, editor = {
Biasotti, Silvia and Dyke, Roberto M. and Lai, Yukun and Rosin, Paul L. and Veltkamp, Remco C.
}, title = {{
SHREC 2021: Surface-based Protein Domains Retrieval
}}, author = {
Langenfeld, Florent
and
Aderinwale, Tunde
and
Windal, Feryal
and
Melkemi, Mahmoud
and
Otu, Ekpo
and
Zwiggelaar, Reyer
and
Hunter, David
and
Liu, Yonghuai
and
Sirugue, Léa
and
Nguyen, Huu-Nghia H.
and
Nguyen, Tuan-Duy H.
and
Nguyen–Truong, Vinh-Thuyen
and
Christoffer, Charles
and
Le, Danh
and
Nguyen, Hai-Dang
and
Tran, Minh-Triet
and
Montès, Matthieu
and
Shin, Woong-Hee
and
Terashi, Genki
and
Wang, Xiao
and
Kihara, Daisuke
and
Benhabiles, Halim
and
Hammoudi, Karim
and
Cabani, Adnane
}, year = {
2021
}, publisher = {
The Eurographics Association
}, ISSN = {
1997-0471
}, ISBN = {
978-3-03868-137-3
}, DOI = {
10.2312/3dor.20211308
} }
Citation