A cepstral distortion measure for protein comparison and identification
2005 (English)In: Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on, 2005, Vol. 9, 5609-5614 p.Conference paper (Refereed)Text
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.
Bioinformatics and Systems Biology
IdentifiersURN: urn:nbn:se:liu:diva-125016DOI: 10.1109/ICMLC.2005.1527936ISBN: 0-7803-9091-1 (print)OAI: oai:DiVA.org:liu-125016DiVA: diva2:902781
2005 International Conference on Machine Learning and Cybernetics, 2005. 18-21 Aug. Guangzhou, China