SHREC'10 track: protein model classification

Authors:
L. Mavridis;V. Venkatraman;D. W. Ritchie;N. Morikawa;R. Andonov;A. Cornu;N. Malod-Dognin;J. Nicolas;M. Temerinac-Ott;M. Reisert;H. Burkhardt;A. Axenopoulos;P. Daras
Affiliations:
ORPAILLEUR, INRIA Nancy, Grand Est, France;ORPAILLEUR, INRIA Nancy, Grand Est, France;ORPAILLEUR, INRIA Nancy, Grand Est, France;GENOCRIPT, Japan;SYMBIOSE, IRISA, INRIA Rennes, France;SYMBIOSE, IRISA, INRIA Rennes, France;SYMBIOSE, IRISA, INRIA Rennes, France;SYMBIOSE, IRISA, INRIA Rennes, France;Albert-Ludwig University Freiburg, Germany;Albert-Ludwig University Freiburg, Germany;Albert-Ludwig University Freiburg, Germany;Informatics & Telematics Institute Thessaloniki, Greece;Informatics & Telematics Institute Thessaloniki, Greece
Venue:
EG 3DOR'10 Proceedings of the 3rd Eurographics conference on 3D Object Retrieval
Year:
2010

Citing 7
Cited 2

Fast and robust computation of molecular surfaces

Proceedings of the eleventh annual symposium on Computational geometry
Algorithmic Aspects of Protein Structure Similarity

FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
Three-Dimensional Shape-Structure Comparison Method for Protein Classification

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Invariant Features for 3D-Data based on Group Integration using Directional Information and Spherical Harmonic Expansion

ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Invariant features for searching in protein fold databases

International Journal of Computer Mathematics - Bioinformatics
An Efficient Lagrangian Relaxation for the Contact Map Overlap Problem

WABI '08 Proceedings of the 8th international workshop on Algorithms in Bioinformatics
Maximum cliques in protein structure comparison

SEA'10 Proceedings of the 9th international conference on Experimental Algorithms

Using dominances for solving the protein family identification problem

WABI'11 Proceedings of the 11th international conference on Algorithms in bioinformatics
DALIX: Optimal DALI Protein Structure Alignment

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents the results of the 3D Shape Retrieval Contest 2010 (SHREC'10) track Protein Models Classification. The aim of this track is to evaluate how well 3D shape recognition algorithms can classify protein structures according to the CATH [CSL?08] 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.