Development and performance evaluation of FLANN based model for protein structural class prediction
نویسندگان
چکیده
Abstract— During last few decades’ accurate prediction of protein structural class has been a challenging problem. Efficient and meaningful representation of protein molecule plays a significant role. In this paper Chou’s pseudo amino acid composition along with amphiphillic correlation factor has been used to represent protein data. A simple functionally linked artificial neural network has been used for structural class prediction. Keywords— AAC, AmPseAAC, Functional link artificial neural network (FLANN), Protein Domain, Structural Class
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