Langenfeld, Florent, Axenopoulos, Apostolos, Chatzitofis, Anargyros, Craciun, Daniela, Daras, Petros, Du, Bowen, Giachetti, Andrea, Lai, Yukun  ORCID: https://orcid.org/0000-0002-2094-5680, Li, Haisheng, Li, Yingbin, Masoumi, Majid, Peng, Yuxu, Rosin, Paul ORCID: https://orcid.org/0000-0002-4965-3884, Sirugue, Jeremy, Sun, Li, Thermos, Spyridon, Toews, Matthew, Wei, Yang, Wu, Yujuan, Zhai, Yujia, Zhao, Tianyu, Zheng, Yanping and Montes, Matthieu
2018.
Protein shape retrieval.
Presented at: EG workshop 3D Object Retrieval,
Delft, the Netherlands,
16 April 2018.
Proceedings of the 11th Eurographics Workshop on 3D Object Retrieval.
Eurographics Association,
pp. 53-61.
10.5555/3290638.3290648
|
Preview |
PDF
- Accepted Post-Print Version
Download (3MB) | Preview |
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.
| Item Type: | Conference or Workshop Item - published (Paper) |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Computer Science & Informatics |
| Publisher: | Eurographics Association |
| ISBN: | 9783038680536 |
| Date of First Compliant Deposit: | 30 March 2018 |
| Last Modified: | 25 Aug 2026 13:45 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/110401 |
Citation Data
Cited 7 times in Scopus. View in Scopus. Powered By Scopus® Data
Actions (repository staff only)
 |
Edit Item |
Dimensions
Dimensions