Huang, Zi H; Zhou, Xiaofang and Song, Dawei
(2005).
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(Accepted Manuscript)
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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.
| Item Type: | Conference or Workshop Item |
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| Copyright Holders: | 2005 Imperial College Press |
| Extra Information: | Published in the Proceedings of the 3rd Asia-Pacific Bioinformatics Conference (Series on Advances in Biofinformatics and Computational Biology, Vol. 1); editors Yi-Ping Phoebe Chen, Limsoon Wong; published by Imperial College Press, London, 2005, pp. 21-30 |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) Faculty of Science, Technology, Engineering and Mathematics (STEM) Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications |
| Item ID: | 35503 |
| Depositing User: | Dawei Song |
| Date Deposited: | 08 May 2013 11:54 |
| Last Modified: | 09 Dec 2018 18:31 |
| URI: | http://oro.open.ac.uk/id/eprint/35503 |
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