Abstract
Multiple approaches have been developed in order to predict the protein secondary structure. In this paper, we propose an approach to such a problem based on evolutionary computation. The proposed approach considers various amino acids properties in order to predict the secondary structure of a protein. In particular, we will consider the hydrophobicity, the polarity and the charge of amino acids. In this study, we focus on predicting a particular kind of secondary structure: α-helices. The results of our proposal will be a set of rules that will identify the beginning or the end of such a structure.
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Márquez Chamorro, A.E., Divina, F., Aguilar Ruiz, J.S., Cortés, G.A. (2010). Alpha Helix Prediction Based on Evolutionary Computation. In: Dijkstra, T.M.H., Tsivtsivadze, E., Marchiori, E., Heskes, T. (eds) Pattern Recognition in Bioinformatics. PRIB 2010. Lecture Notes in Computer Science(), vol 6282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16001-1_31
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DOI: https://doi.org/10.1007/978-3-642-16001-1_31
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