Copy the page URI to the clipboard
Huang, Zi H; Zhou, Xiaofang and Song, Dawei
(2005).
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.
Viewing alternatives
Download history
Item Actions
Export
About
- Item ORO ID
- 35503
- Item Type
- Conference or Workshop Item
- 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 or 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 - Copyright Holders
- © 2005 Imperial College Press
- Depositing User
- Dawei Song