SHREC 2018 - Protein Shape Retrieval

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. SHREC 2018 - Protein Shape Retrieval. Presented at: EG workshop 3D Object Retrieval, Delft, the Netherlands, 16 April 2018.

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 (Paper)
Date Type:	Completion
Status:	Unpublished
Schools:	Computer Science & Informatics
Date of First Compliant Deposit:	30 March 2018
Last Modified:	23 Oct 2022 13:21
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