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In this paper, we propose an ab initio two-stage protein secondary structure (PSS) prediction model through a novel framework of PSS transition site prediction by using Artificial Neural Networks (ANNs) and Genetic Programming (GP). In the proposed classifier, protein sequences are encoded by new amino acid encoding schemes derived from genetic Codon mappings, Clustering and Information theory. In...
In this paper, we evaluated the performance of a multi-stage protein secondary structure (PSS) prediction model. The proposed classifier uses statistical information and protein profiles. The statistical information is derived from protein sequences and structures by using a k-means clustering technique and Information theory. In the first stage, a feed-forward artificial neural network maps a sequence...
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