High dimensional indexing for protein structure matching using bowties

Zi H. Huang*, Xiaofang Zhou, Dawei Song

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 3rd Asia-Pacific Bioinformatics Conference, APBC 2005
PublisherImperial College Press
Pages21-30
Number of pages10
ISBN (Print)1860944779, 9781860944772
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event3rd Asia-Pacific Bioinformatics Conference, APBC 2005 - Singapore, Singapore
Duration: 17 Jan 200521 Jan 2005

Publication series

NameSeries on Advances in Bioinformatics and Computational Biology
Volume1
ISSN (Print)1751-6404

Conference

Conference3rd Asia-Pacific Bioinformatics Conference, APBC 2005
Country/TerritorySingapore
CitySingapore
Period17/01/0521/01/05

Fingerprint

Dive into the research topics of 'High dimensional indexing for protein structure matching using bowties'. Together they form a unique fingerprint.

Cite this