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.
PDF (Published version)
- Published Version
Restricted to Repository staff only |
Abstract
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 ID: | 3969 |
---|---|
Item Type: | Article (Research - C1) |
ISSN: | 1558-2639 |
Keywords: | protein; pattern classification; signal processing |
Date Deposited: | 17 Nov 2009 03:48 |
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% |
More Statistics |