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Automate Secondary Protein Structure Prediction based on spatial information

    Author

    • NAHLA IBRAHEEM JABBAR

    Department of Chemical, College of Engineering, University of Babylon, Iraq

,

Document Type : Research Article

10.63463/kjes1112
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Abstract

This study discusses the prediction of secondary structure protein from features of amino acid images. We define a predication algorithm depending on the spatial information of amino acid sequences. Algorithm A and algorithm B are applied to extract spatial information for clustering types of amino acids in three states: helix(H), strand(E), and coil(C). The accuracy of clustering depends on the improvement of algorithm B and the parameters of algorithms A and B. We apply a novel approach to spatial information extraction from primary protein structure to predicate three states of secondary protein structure. Primary protein sequences are divided into sub-images depending on the win window size. The accuracy of prediction is variable due to the size of the windows. Algorithms A and B are applied to achieve accuracy in each type of secondary protein structure. Helix (H) is 91.93%, Sheet(E) is 93.15%, and Coil (C) is 89.0126 %. In algorithms A and B, spatial information provides automated feature extraction to predict the secondary protein structure ion.

Keywords

  • : Amino Acid sequence
  • Bioinformatics
  • Image processing
  • Features extraction and Secondary Protein structure
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References
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Kerbala Journal for Engineering Sciences
Volume 4, Issue 1
March 2024
Pages 15-24
Files
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How to cite
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Statistics
  • Article View: 3,857
  • PDF Download: 376

APA

JABBAR, N. (2024). Automate Secondary Protein Structure Prediction based on spatial information. Kerbala Journal for Engineering Sciences, 4(1), 15-24. doi: 10.63463/kjes1112

MLA

NAHLA IBRAHEEM JABBAR. "Automate Secondary Protein Structure Prediction based on spatial information". Kerbala Journal for Engineering Sciences, 4, 1, 2024, 15-24. doi: 10.63463/kjes1112

HARVARD

JABBAR, N. (2024). 'Automate Secondary Protein Structure Prediction based on spatial information', Kerbala Journal for Engineering Sciences, 4(1), pp. 15-24. doi: 10.63463/kjes1112

VANCOUVER

JABBAR, N. Automate Secondary Protein Structure Prediction based on spatial information. Kerbala Journal for Engineering Sciences, 2024; 4(1): 15-24. doi: 10.63463/kjes1112

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