title: A novel descriptor of protein sequences and its application.
abstract: In this paper, a dynamic 3-D graphical representation of protein sequences is introduced based on three physical-chemical properties of amino acids. The coordinates of the graph have direct biological significance, which could reflect the innate structure of the proteins. The information of principal moments of inertia and range of axis coordinate are extracted as a novel mixed descriptor and proposed for the comparison of protein primary sequences. Meanwhile, the Euclidean distance of the normalized descriptor vectors which avoid the influence of the difference in length of protein sequences under consideration is employed as a quantitative measurement of the similarity of proteins. Finally, we take the nine ND5 (NADH dehydrogenase subunit 5) proteins for example and illustrate the effectiveness of our approach.
authors.affiliation: College of Life Sciences, Zhejiang Sci-Tech University, Hangzhou 310018, People's Republic of China. Electronic address: yaoyuhua2288@163.com.
authors.forename: Yuhua
authors.initials: Y
authors.lastname: Yao
authors.affiliation: College of Life Sciences, Zhejiang Sci-Tech University, Hangzhou 310018, People's Republic of China.
authors.forename: Shoujiang
authors.initials: S
authors.lastname: Yan
authors.affiliation: College of Sciences, Zhejiang Sci-Tech University, Hangzhou 310018, People's Republic of China.
authors.forename: Jianning
authors.initials: J
authors.lastname: Han
authors.affiliation: College of Life Sciences, Zhejiang Sci-Tech University, Hangzhou 310018, People's Republic of China.
authors.forename: Qi
authors.initials: Q
authors.lastname: Dai
authors.affiliation: College of Sciences, Zhejiang Sci-Tech University, Hangzhou 310018, People's Republic of China.
authors.forename: Ping-an
authors.initials: PA
authors.lastname: He
mesh_terms: D011506:Proteins / Q000737:chemistry*; D020539:Sequence Analysis, Protein
chemical_list: D011506:Proteins
keywords: Graphical representation; Protein descriptor; Similarities/dissimilarities