A new graphical representation of protein sequences and its applications

Wenbing Hou, Qiuhui Pan and Mingfeng He

Physica A: Statistical Mechanics and its Applications, 2016, vol. 444, issue C, 996-1002

Abstract: Sequence analysis is one of the foundations in bioinformatics for the abundant information hidden in the sequences. It is helpful for scientists’ study on the function of DNA, proteins and cells. In this paper, we outline a novel method for protein sequences similarity analysis based on the physical–chemical properties of amino acids. We consider the protein sequence as a rigid-body with mass. Then we introduce the moment of inertia to the calculation of similarity of sequences and the sequences are transformed into vectors by the tensor for moment of inertia. The Euclidean distance is employed as a measurement of the similarities. At last, the comparison with other references’ results shows our approach is reasonable and effective.

Keywords: Sequences analysis; Similarity; Moments of inertia; Tensor; Phylogenetic tree (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:444:y:2016:i:c:p:996-1002

DOI: 10.1016/j.physa.2015.10.067

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