Conference Papers Year : 2021

SHREC 2021: surface-based protein domains retrieval

Florent Langenfeld
Tunde Aderinwale
  • Function : Author
Charles Christoffer
Woong-Hee Shin
Genki Terashi
  • Function : Author
Xiao Wang
  • Function : Author
Daisuke Kihara
Ekpo Otu
Reyer Zwiggelaar
  • Function : Author
David Hunter
Yonghuai Liu
  • Function : Author
Léa Sirugue
  • Function : Author
H. Nguyen Huu-Nghia
  • Function : Author
H. Nguyen Tuan-Duy
  • Function : Author
Vinh-Thuyen Nguyen–truong
  • Function : Author
Danh Le
  • Function : Author
Hai-Dang Nguyen
  • Function : Author
Minh-Triet Tran
  • Function : Author
Matthieu Montès
  • Function : Author

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.
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Dates and versions

hal-03467479 , version 1 (06-12-2021)

Identifiers

  • HAL Id : hal-03467479 , version 1

Cite

Florent Langenfeld, Tunde Aderinwale, Charles Christoffer, Woong-Hee Shin, Genki Terashi, et al.. SHREC 2021: surface-based protein domains retrieval. 3D Shape Retrieval Challenge SHREC 2021 in 14th Eurographics Workshop on 3D Object Retrieval 2021, 3DOR'21, Sep 2021, online, France. pp.19-26. ⟨hal-03467479⟩
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