High dimensional indexing for protein structure matching Using bowties

Huang, Zi H; Zhou, Xiaofang and Song, Dawei (2005). High dimensional indexing for protein structure matching Using bowties. In: 3rd Asia-Pacific Bioinformatics Conference (APBC2005), 17-21 Jan 2005, Singapore.

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

Item Actions

Export

You can export this page using these formats

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