Protein structural class prediction via k - separated bigrams using position specific scoring matrix

Saini, Harsh and Raicar, Gaurav and Sharma, Alokanand and Lal, Sunil P. and Dehzangi, A. and Ananthanarayanan, Rajeshkannan and Lyons, J. and Biswas, N. and Paliwal, K.K. (2014) Protein structural class prediction via k - separated bigrams using position specific scoring matrix. Journal of Advanced Computational Intelligence and Intelligent Informatics, 18 (4). pp. 474-479. ISSN 1343-0130

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Abstract

Protein structural class prediction (SCP) is as important task in identifying protein tertiary structure and protein functions. In this study, we propose a feature extraction technique to predict secondary structures. The technique utilizes bigram (of adjacent and k-separated amino acids) information derived from Position Specific Scoring Matrix (PSSM). The technique has shown promising results when evaluated on benchmarked Ding and Dubchak dataset.

Item Type:	Journal Article
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Science, Technology and Environment (FSTE) > School of Computing, Information and Mathematical Sciences Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics
Depositing User:	Harsh Saini
Date Deposited:	10 Sep 2014 03:31
Last Modified:	25 May 2016 23:07
URI:	https://repository.usp.ac.fj/id/eprint/7586

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