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. © 2010 Springer-Verlag.
CITATION STYLE
Márquez Chamorro, A. E., Divina, F., Aguilar Ruiz, J. S., & Cortés, G. A. (2010). Alpha helix prediction based on evolutionary computation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6282 LNBI, pp. 358–367). https://doi.org/10.1007/978-3-642-16001-1_31
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