LPC Cepstral distortion measure for protein sequence comparison
Pham, Tuan D. (2006) LPC Cepstral distortion measure for protein sequence comparison. IEEE Transactions on Nanobioscience, 5 (2). pp. 83-88.
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Protein sequence comparison is the most powerful tool for the inference 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 concepts of linear predictive coding (LPC) and LPC cepstral distortion measure, for computing similarities/dissimilarities between protein sequences. Experimental results on a real data set of functionally related and functionally nonrelated protein sequences have shown the effectiveness of the proposed approach on both accuracy and computational efficiency.
|Item Type:||Article (Refereed Research - C1)|
|Keywords:||protein; pattern classification; signal processing|
|SEO Codes:||92 HEALTH > 9202 Health and Support Services > 920203 Diagnostic Methods @ 34%|
92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920412 Preventive Medicine @ 33%
92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920102 Cancer and Related Disorders @ 33%
|Deposited On:||17 Nov 2009 13:48|
|Last Modified:||21 May 2013 00:36|
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|Citation Counts with External Providers:||Web of Science: 13|
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