title: Fourier-based classification of protein secondary structures.
abstract: The correct prediction of protein secondary structures is one of the key issues in predicting the correct protein folded shape, which is used for determining gene function. Existing methods make use of amino acids properties as indices to classify protein secondary structures, but are faced with a significant number of misclassifications. The paper presents a technique for the classification of protein secondary structures based on protein "signal-plotting" and the use of the Fourier technique for digital signal processing. New indices are proposed to classify protein secondary structures by analyzing hydrophobicity profiles. The approach is simple and straightforward. Results show that the more types of protein secondary structures can be classified by means of these newly-proposed indices.
authors.affiliation: School of Mechanical & Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore. Electronic address: mjjshu@ntu.edu.sg.
authors.forename: Jian-Jun
authors.initials: JJ
authors.lastname: Shu
authors.affiliation: School of Mechanical & Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore.
authors.forename: Kian Yan
authors.initials: KY
authors.lastname: Yong
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D000596:Amino Acids / Q000737:chemistry; D000818:Animals; D002417:Cattle; D030562:Databases, Protein; D005583:Fourier Analysis; D006801:Humans; D057927:Hydrophobic and Hydrophilic Interactions; D009211:Myoglobin / Q000737:chemistry / Q000145:classification; D054467:Phospholipases A2 / Q000737:chemistry / Q000145:classification; D017433:Protein Structure, Secondary; D011506:Proteins / Q000737:chemistry* / Q000145:classification; D020539:Sequence Analysis, Protein
chemical_list: D000596:Amino Acids; D009211:Myoglobin; D011506:Proteins; D054467:Phospholipases A2
keywords: Classification; Protein secondary structures