Protein Shape Retrieval

Langenfeld, Florent; Axenopoulos, Apostolos; Chatzitofis, Anargyros; Craciun, Daniela; Daras, Petros; Du, Bowen; Giachetti, Andrea; Lai, Yu-kun; Li, Haisheng; Li, Yingbin; Masoumi, Majid; Peng, Yuxu; Rosin, Paul L.; Sirugue, Jeremy; Sun, Li; Thermos, Spyridon; Toews, Matthew; Wei, Yang; Wu, Yujuan; Zhai, Yujia; Zhao, Tianyu; Zheng, Yanping; Montes, Matthieu

Protein Shape Retrieval

Files

053-061.pdf (3.04 MB)

Date

2018

Publisher

The Eurographics Association

Abstract

Proteins are macromolecules central to biological processes that display a dynamic and complex surface. They display multiple conformations differing by local (residue side-chain) or global (loop or domain) structural changes which can impact drastically their global and local shape. Since the structure of proteins is linked to their function and the disruption of their interactions can lead to a disease state, it is of major importance to characterize their shape. In the present work, we report the performance in enrichment of six shape-retrieval methods (3D-FusionNet, GSGW, HAPT, DEM, SIWKS and WKS) on a 2 267 protein structures dataset generated for this protein shape retrieval track of SHREC'18.

        @inproceedings{10.2312:3dor.20181053
,
booktitle = {Eurographics Workshop on 3D Object Retrieval
},
editor = {Telea, Alex and Theoharis, Theoharis and Veltkamp, Remco
},
title = {{Protein Shape Retrieval
}},
author = {Langenfeld, Florent and 
Axenopoulos, Apostolos and 
Masoumi, Majid and 
Peng, Yuxu and 
Rosin, Paul L. and 
Sirugue, Jeremy and 
Sun, Li and 
Thermos, Spyridon and 
Toews, Matthew and 
Wei, Yang and 
Wu, Yujuan and 
Zhai, Yujia and 
Chatzitofis, Anargyros and 
Zhao, Tianyu and 
Zheng, Yanping and 
Montes, Matthieu and 
Craciun, Daniela and 
Daras, Petros and 
Du, Bowen and 
Giachetti, Andrea and 
Lai, Yu-kun and 
Li, Haisheng and 
Li, Yingbin
},
year = {2018
},
publisher = {The Eurographics Association
},
ISSN = {1997-0471
},
ISBN = {978-3-03868-053-6
},
DOI = {10.2312/3dor.20181053
}
}