CSI: Clustered segment indexing for efficient approximate searching on the secondary structure of protein sequences

Minkoo Seo, Sanghyun Park, Jung Im Won

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Approximate searching on the primary structure (i.e., amino acid arrangement) of protein sequences is an essential part in predicting the functions and evolutionary histories of proteins. However, because proteins distant in an evolutionary history do not conserve amino acid residue arrangements, approximate searching on proteins' secondary structure is quite important in finding out distant homology. In this paper, we propose an indexing scheme for efficient approximate searching on the secondary structure of protein sequences which can be easily implemented in RDBMS. Exploiting the concept of clustering and lookahead, the proposed indexing scheme processes three types of secondary structure queries (i.e., exact match, range match, and wildcard match) very quickly. To evaluate the performance of the proposed method, we conducted extensive experiments using a set of actual protein sequences. According to the experimental results, the proposed method was proved to be faster than the existing indexing methods up to 6.3 times in exact match, 3.3 times in range match, and 1.5 times in wildcard match, respectively.

Original languageEnglish
Title of host publicationFoundations of Intelligent Systems - 15th International Symposium, ISMIS 2005, Proceedings
PublisherSpringer Verlag
Pages237-247
Number of pages11
ISBN (Print)3540258787, 9783540258780
DOIs
Publication statusPublished - 2005
Event15th International Symposium on Methodologies for Intelligent Systems, ISMIS 2005 - Saratoga Springs, NY, United States
Duration: 2005 May 252005 May 28

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3488 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Symposium on Methodologies for Intelligent Systems, ISMIS 2005
CountryUnited States
CitySaratoga Springs, NY
Period05/5/2505/5/28

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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