OpenAIR @ RGU >
Design and Technology >
Computing >
Conference publications (Computing) >

Please use this identifier to cite or link to this item:
This item has been viewed 1 times in the last year. View Statistics

Files in This Item:

File Description SizeFormat
Song 3rd Asia Pacific Bioinformatics.pdf157.92 kBAdobe PDFView/Open
Title: High dimensional indexing for protein structure matching
Authors: Huang, Zi
Zhou, Xiaofang
Song, Dawei
Editors: Chen, Yi-Ping Phoebe
Wong, Limsoon
Keywords: Protein structures
High dimensional indexing
Issue Date: Jan-2005
Publisher: Imperial College Press.
Citation: HUANG, Z., ZHOU, X. and SONG, D., 2005. High dimensional indexing for protein structure matching. In: Y-P. P. CHEN and L. WONG eds. Proceedings of the 3rd Asia-Pacific Bioinformatics Conference. 17-21 January 2005. Singapore: Imperial College Press. pp. 21-30.
Abstract: For determining functionality dependencies between two proteins, both represented as 3D structures, it is an essential condition that they have a matching structure. As 3D structures for proteins are large, complex and constantly evolving, it is very time-consuming to identify possible locations and sizes of such a matching structure for a given protein against a large protein database. In this paper, we introduce a novel representation model and apply a transformation and formalization to this problem. We then propose a database solution by using innovative high dimensional indexing mechanisms. Experimental results demonstrate a promising performance of the high dimensional indexing to this biologically critical but previously computationally prohibitive problem.
ISBN: 9781860944772
Appears in Collections:Conference publications (Computing)

All items in OpenAIR are protected by copyright, with all rights reserved.


   Disclaimer | Freedom of Information | Privacy Statement |Copyright ©2012 Robert Gordon University, Garthdee House, Garthdee Road, Aberdeen, AB10 7QB, Scotland, UK: a Scottish charity, registration No. SC013781