Shape representation and invariant description of protein tertiary structure in applications to shape retrieval and classification

Authors:
Dong Xu;Hua Li;Tongjun Gu
Affiliations:
Key Lab. of Computer System and Architecture, Chinese Academy of Sciences and National Research Center for Intelligent Computing Systems, Institute of Computing Technology, Chinese Academy of Scie ...;Key Lab. of Computer System and Architecture, Chinese Academy of Sciences and National Research Center for Intelligent Computing Systems, Institute of Computing Technology, Chinese Academy of Scie ...;Center for Systems Biology, Institute of Biophysics, Chinese Academy of Sciences
Venue:
GMP'08 Proceedings of the 5th international conference on Advances in geometric modeling and processing
Year:
2008

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Nearest Neighbor Classification in 3D Protein Databases

Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology
A web-based three-dimensional protein retrieval system by matching visual similarity

Bioinformatics
Geometric moment invariants

Pattern Recognition

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Abstract

Each protein tertiary structure is represented by three sorts of geometric models, which are polyline curves, triangulated surfaces and volumetric solids. Moment invariants are employed to describe the shapes of the three kinds of protein models and form a multidimensional feature vector for each model. We further analyze the influence of the three representations in applications to protein shape retrieval and classification.