Abstract
In this paper, we studied the protein structure database including all-α, all − β, α + β and α/β structural classes based on the Hamilton-factor of the graph theory model and proposed a new method for predicting protein structural class with Hamilton-factor based on N-atom of protein backbone. By using this method to test the 135 single proteins shows that the overall accuracy rate reached 94.81%. It provided the new idea for protein structural class.
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Shi, X., Fan, Q. (2014). Based on Different Atom of Protein Backbone Predicting Protein Structural Class. In: Pan, L., Păun, G., Pérez-Jiménez, M.J., Song, T. (eds) Bio-Inspired Computing - Theories and Applications. Communications in Computer and Information Science, vol 472. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45049-9_61
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DOI: https://doi.org/10.1007/978-3-662-45049-9_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45048-2
Online ISBN: 978-3-662-45049-9
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