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Conference Paper
Protein Structure Abstractionand Automatic Clustering Using Secondary Structure Element Sequences
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- Authors
- Sung Hee Park, Chan Yong Park, Dae Hee Kim, Seon Hee Park, Jeong Seop Sim
- Issue Date
- 2005-05
- Citation
- International Conference on Computational Science and Its Applications (ICCSA) 2005 (LNCS 3481), v.3481, pp.1284-1292
- Publisher
- Springer
- Language
- English
- Type
- Conference Paper
- Abstract
- To study protein clustering is very important in diverse fields such as drug design and environmental industry. For a meaningful clustering, protein structure must be considered. But, protein structures are very complicated and have so much information such as angles, 3-dimensional coordinates. Thus, it is not easy to efficiently compute their relations. In this paper, we present a method to efficiently abstract and cluster protein structures using secondary structure element sequences. Since a secondary structure element sequence is an abstract representation of protein structure, it can be regarded as a useful descriptor to cluster a set of proteins at the abstraction level. Using secondary structure element sequences and their distances, we implemented an automatic protein clustering system and verify their efficiency by experimental results. © Springer-Verlag Berlin Heidelberg 2005.
- KSP Keywords
- 3-dimensional, Abstract representation, Automatic clustering, Drug Design, Secondary structure, Structure element, abstraction level, environmental industry, protein clustering, protein structure