Prediction of Protein Function Using Signal Processing of Biochemical Properties

Authors:
Krishna Gopalakrishnan;Kayvan Najarian
Affiliations:
-;-
Venue:
CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics
Year:
2003

Citing 3
Cited 1

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Abstract

We present a technique to find the biologicalfunction of protein from its primary sequence. Currentlyused protein classification methods make use ofmultiple alignments. We use signal-processing featuresobtained from the primary sequence of the protein, topredict its biological function. The primary sequence ofprotein is converted to signals based on the encoding ofbiochemical properties like hydrophobicity, solubility,molecular weight of constituent amino acids. Signalprocessing features like complexity, mobility and fractaldimension are extracted from the obtained signals.Studies are conducted for lipase, protease and isomeraseof length between 100 and 200 amino acids.