Measuring Similarity among Protein Sequences Using a New Descriptor.

+e comparison of protein sequences according to similarity is a fundamental aspect of today's biomedical research. With the developments of sequencing technologies, a large number of protein sequences increase exponentially in the public databases. Famous sequences' comparison methods are alignment...

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Publicado en:BioMed Research International pp. 1 - 11
Autores principales: Abo-Elkhier, Mervat M., Abd Elwahaab, Marwa A., El Maaty, Moheb I. Abo
Formato: equations & formulas review tables/charts Journal Article
Publicado: Wiley-Blackwell 11/22/2019
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 11/22/2019
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1155/2019/2796971
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        atl: Measuring Similarity among Protein Sequences Using a New Descriptor.
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        au:
          Abo-Elkhier, Mervat M.
          Abd Elwahaab, Marwa A.
          El Maaty, Moheb I. Abo
        affil: Department of Engineering Mathematics and Physics, Faculty of Engineering, Mansoura University, Mansoura 35516, Egypt
      sug:
        subj:
          Sequence Analysis Methods
          Proteins Analysis
          Research, Medical
          Technology, Medical Utilization
          Proteins Physiology
          Proteins Classification
      ab: +e comparison of protein sequences according to similarity is a fundamental aspect of today's biomedical research. With the developments of sequencing technologies, a large number of protein sequences increase exponentially in the public databases. Famous sequences' comparison methods are alignment based. +ey generally give excellent results when the sequences under study are closely related and they are time consuming. Herein, a new alignment-free method is introduced. Our technique depends on a new graphical representation and descriptor. +e graphical representation of protein sequence is a simple way to visualize protein sequences. +e descriptor compresses the primary sequence into a single vector composed of only two values. Our approach gives good results with both short and long sequences within a little computation time. It is applied on nine beta globin, nine ND5 (NADH dehydrogenase subunit 5), and 24 spike protein sequences. Correlation and significance analyses are also introduced to compare our similarity/dissimilarity results with others' approaches, results, and sequence homology.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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