ArticleEvolutionary bioinformatics online2014
Similarity/Dissimilarity analysis of protein sequences based on a new spectrum-like graphical representation.
Article in Evolutionary bioinformatics online, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Mathematical Approach to Protein Sequence Comparison Based on Physiochemical Properties.ACS omega · 2022Article
- A novel model for protein sequence similarity analysis based on spectral radius.Journal of theoretical biology · 2018Article
- One novel representation of DNA sequence based on the global and local position information.Scientific reports · 2018Article
- Chemical property based sequence characterization of PpcA and its homolog proteins PpcB-E: A mathematical approach.PloS one · 2017Article
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7 authors.
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Abstract
Sequence comparison is one of the foundations in bioinformatics, which can be used to study evolutionary relations among the sequences. In this study, a 2D spectrum-like graphical representation of protein sequences is presented based on the hydrophobicity scale of amino acids. The frequencies of amplitudes of 4-subsequences are adopted to characterize a spectrum-like graph, and a 17D vector is used as the descriptor of protein sequence. The χ(2) value of compatibility test is performed. New similarity analysis approach is illustrated on the all protein sequences, which are encoded by the mitochondrion genome of 20 different species. Finally, comparison with the ClustalW method shows the utility of our method.
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