The architectural network for protein secondary structure prediction

Anindya Sundar Panja, Bidyut Bandyopadhyay, Smarajit Maity and Shiboprosad Mandal

MPRA Paper from University Library of Munich, Germany

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.

Keywords: Secondary structure; Evolution; Algorithm; Tool; programme (search for similar items in EconPapers)
JEL-codes: Y80 (search for similar items in EconPapers)
Date: 2016-01
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Published in International Journal of Advanced Multidisciplinary Research and Review 7.4(2016): pp. 183-190

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