Protein Shape Retrieval Contest
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Date
2019
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
This track aimed at retrieving protein evolutionary classification based on their surfaces meshes only. Given that proteins are dynamic, non-rigid objects and that evolution tends to conserve patterns related to their activity and function, this track offers a challenging issue using biologically relevant molecules. We evaluated the performance of 5 different algorithms and analyzed their ability, over a dataset of 5,298 objects, to retrieve various conformations of identical proteins and various conformations of ortholog proteins (proteins from different organisms and showing the same activity). All methods were able to retrieve a member of the same class as the query in at least 94% of the cases when considering the first match, but show more divergent when more matches were considered. Last, similarity metrics trained on databases dedicated to proteins improved the results.
Description
@inproceedings{10.2312:3dor.20191058,
booktitle = {Eurographics Workshop on 3D Object Retrieval},
editor = {Biasotti, Silvia and Lavoué, Guillaume and Veltkamp, Remco},
title = {{Protein Shape Retrieval Contest}},
author = {Langenfeld, Florent and Axenopoulos, Apostolos and Melkemi, Mahmoud and Mylonas, Stelios K. and Terashi, Genki and Wang, Yufan and Windal, Feryal and Montes, Matthieu and Benhabiles, Halim and Daras, Petros and Giachetti, Andrea and Han, Xusi and Hammoudi, Karim and Kihara, Daisuke and Lai, Tuan M. and Liu, Haiguang},
year = {2019},
publisher = {The Eurographics Association},
ISSN = {1997-0471},
ISBN = {978-3-03868-077-2},
DOI = {10.2312/3dor.20191058}
}