liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
A cepstral distortion measure for protein comparison and identification
Bioinformatics Applications Res.School of Infornation Technology James Cook UniversityTownsville, QLD, Australia.ORCID iD: 0000-0002-4255-5130
Bioinformatics Applications Research Center.
2005 (English)In: Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on, 2005, Vol. 9, 5609-5614 p.Conference paper (Refereed)Text
Abstract [en]

Protein sequence comparison is the most powerful tool for the identification of novel protein structure and function. This type of inference is commonly based on the similar sequence-similar structure-similar function paradigm, and derived by sequence similarity searching on databases of protein sequences. As entire genomes have been being determined at a rapid rate, computational methods for comparing protein sequences will be more essential for probing the complexity of molecular machines. In this paper we introduce a pattern-comparison algorithm, which is based on the mathematical concept of linear-predictive-coding based cepstral distortion measure, for comparison and identification of protein sequences. Experimental results on a real data set of functionally related and functionally non-related protein sequences have shown the effectiveness of the proposed approach on both accuracy and computational efficiency.

Place, publisher, year, edition, pages
2005. Vol. 9, 5609-5614 p.
National Category
Bioinformatics and Systems Biology
Identifiers
URN: urn:nbn:se:liu:diva-125016DOI: 10.1109/ICMLC.2005.1527936ISBN: 0-7803-9091-1 (print)OAI: oai:DiVA.org:liu-125016DiVA: diva2:902781
Conference
2005 International Conference on Machine Learning and Cybernetics, 2005. 18-21 Aug. Guangzhou, China
Available from: 2016-02-12 Created: 2016-02-12 Last updated: 2016-02-23

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Pham, Tuan D
Bioinformatics and Systems Biology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 252 hits
ReferencesLink to record
Permanent link

Direct link