SHREC 2018: Protein Shape Retrieval


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.

  • F. Langenfeld, A. Axenopoulos, A. Chatzitofis, D. Craciun, P. Daras, B. Du, A. Giachetti, Y. Lai, H. Li, Y. Li, M. Masoumi, Y. Peng, P. L. Rosin, J. Sirugue, L. Sun, S. Thermos, M. Toews, Y. Wei, Y. Wu, Y. Zhai, T. Zhao, Y. Zheng, M. Montes, "SHREC 2018: Protein Shape Retrieval", 11th Eurographics Workshop on 3D Object Retrieval, 16 April 2018, Delft, The Netherlands.

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    Contact Information

    Dr. Petros Daras, Principal Researcher Grade Α
    1st km Thermi – Panorama, 57001, Thessaloniki, Greece
    P.O.Box: 60361
    Tel.: +30 2310 464160 (ext. 156)
    Fax: +30 2310 464164