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

Author(s)
Saini, H
Raicar, G
Sharma, A
Lal, S
Dehzangi, A
Ananthanarayanan, R
Lyons, J
Biswas, N
Paliwal, KK
Griffith University Author(s)
Year published
2014
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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.
Journal Title
Journal of Advanced Computational Intelligence and Intelligent Informatics
Volume
18
Issue
4
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Self-archiving of the author-manuscript version is not yet supported by this journal. Please refer to the journal link for access to the definitive, published version or contact the authors for more information.
Subject
Artificial intelligence not elsewhere classified
Information systems
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