Protein Structural Class Prediction via k-Separated Bigrams Using Position Specific Scoring Matrix
نویسندگان
چکیده
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.
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عنوان ژورنال:
- JACIII
دوره 18 شماره
صفحات -
تاریخ انتشار 2014