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Authors
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F. Langenfeld |
| A. Axenopoulos | |
| H. Benhabiles | |
| P. Daras | |
| A. Giachetti | |
| X. Han | |
| K. Hammoudi | |
| D. Kihara | |
| T. M. Lai | |
| H. Liu | |
| M. Melkemi | |
| S. Mylonas | |
| G. Terashi | |
| Y. Wang | |
| F. Windal | |
| M. Montess | |
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Year
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2019 |
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Venue
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In Proceedings of the 12th Eurographics Workshop on 3D Object Retrieval, Genova, Italy, May 5-6, 2019. |
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Download
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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 analysed 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).