Adaptive two-dimensional string matching for protein contact maps
| dc.contributor.author | Fraser, Robert | |
| dc.contributor.author | Lopez-Ortiz, Alejandro | |
| dc.date.accessioned | 2026-10-27T19:27:20Z | |
| dc.date.issued | 2008-07-17 | |
| dc.description.abstract | Contact maps are two dimensional abstract representations of protein structures. One of the uses of contact maps is for the identification of patterns which correspond to some known configuration of protein secondary structures. In the past, searching for these patterns has generally used a naive sliding window approach which is time consuming. We study several approaches that have been used for two dimensional string matching to accelerate the time requirements of these searching operations, and demonstrate experimentally the efficacy of these algorithms in our domain. Finally, we present an adaptive analysis of the problem, by restricting the search to only those regions of secondary structure that we are interested in. The same searches as performed previously are executed again using the adaptive approach, and the improvements make the search tractable. | |
| dc.identifier.uri | https://hdl.handle.net/10012/24611 | |
| dc.language.iso | en | |
| dc.publisher | University of Waterloo | |
| dc.relation.ispartofseries | Computer Science Technical Reports; CS-2008-14 | |
| dc.title | Adaptive two-dimensional string matching for protein contact maps | |
| dc.type | Technical Report | |
| uws.contributor.affiliation1 | Faculty of Mathematics | |
| uws.contributor.affiliation2 | David R. Cheriton School of Computer Science | |
| uws.peerReviewStatus | Unreviewed | |
| uws.scholarLevel | Faculty | |
| uws.typeOfResource | Text | en |