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The architectural network for protein secondary structure prediction

Author

Listed:
  • Panja, Anindya Sundar
  • Bandyopadhyay, Bidyut
  • Maity, Smarajit
  • Mandal, Shiboprosad

Abstract

Over the past 25 years, the accuracy of proteins secondary structure prediction has improved substantially. Recently evolutionary information taken from the deviation of proteins in some structural family have again enhance prediction accuracy for all these residues predicted correctly is in one of the three sates helix, strands and others . The new methods developed over the past few years may be interesting in context of improvements which is achieved through combination of the existing methods. Evolutionary divergences profile posses’ adequate information to improve protein secondary structure prediction accuracy. These profiles can also able to correctly predict long stretches of identical residues in other secondary structure. This sequence structure relationship may help to help to developed tool which can efficiently predict the protein secondary structure from its amino acid sequence.

Suggested Citation

  • Panja, Anindya Sundar & Bandyopadhyay, Bidyut & Maity, Smarajit & Mandal, Shiboprosad, 2016. "The architectural network for protein secondary structure prediction," MPRA Paper 72466, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:72466
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    File URL: https://mpra.ub.uni-muenchen.de/72466/7/183-190%20%28v4-7%29MPRA.pdf
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    More about this item

    Keywords

    Secondary structure; Evolution; Algorithm; Tool; programme;
    All these keywords.

    JEL classification:

    • Y80 - Miscellaneous Categories - - Related Disciplines - - - Related Disciplines

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