SHREC'10 Track: Protein Models

Lazaros Mavridis (1) , Vishwesh Venkatraman (1) , David Ritchie (1) , Naoto Morikawa (2) , Rumen Andonov (3) , Alexandre Cornu (3) , Noël Malod-Dognin (3) , Jacques Nicolas (3) , Maja Temerinac-Ott (4) , Marco Reisert (4) , Hans Burkhardt (4) , Apostolos Axenopoulos (5) , Petros Daras (5)

1 ORPAILLEUR - Knowledge representation, reasonning
2 GENOCRIPT [Japon]
3 SYMBIOSE - Biological systems and models, bioinformatics and sequences
4 Albert-Ludwigs-Universität Freiburg
5 ITT - Informatics & Telematics Insitute [Thessaloniki]

This paper presents the results of the SHREC'10 Protein Models Classification Track. The aim of this track is to evaluate how well 3D shape recognition algorithms can classify protein structures according to the CATH [CSL08] superfamily classification. Five groups participated in this track, using a total of six methods, and for each method a set of ranked predictions was submitted for each classification task. The evaluation of each method is based on the nearest neighbour and area under the curve(AUC) metrics.

Domaines: Bio-informatique [q-bio.QM]; Bio-Informatique, Biologie Systémique [q-bio.QM]

Lazaros Mavridis, Vishwesh Venkatraman, David Ritchie, Naoto Morikawa, Rumen Andonov, et al.. SHREC'10 Track: Protein Models. Eurographics Workshop on 3D Object Retrieval - 3DOR 2010, May 2010, Norrköping, Sweden. ⟨inria-00536680⟩