Abstract
The biological function of the protein is folded by their spatial structure decisions, and therefore the process of protein folding is one of the most challenging problems in the field of bioinformatics. Although many heuristic algorithms have been proposed to solve the protein structure prediction (PSP) problem. The existing algorithms are far from perfect since PSP is an NP-problem. In this paper, we proposed artificial bee colony algorithm on 3D AB off-lattice model to PSP problem. In order to improve the global convergence ability and convergence speed of ABC algorithm, we adopt the new search strategy by combining the global solution into the search equation. Experimental results illustrate that the suggested algorithm is effective when the algorithm is applied to the Fibonacci sequences and four real protein sequences in the Protein Data Bank.
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Li, Y., Zhou, C., Zheng, X. (2014). The Application of Artificial Bee Colony Algorithm in Protein Structure Prediction. 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_42
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DOI: https://doi.org/10.1007/978-3-662-45049-9_42
Publisher Name: Springer, Berlin, Heidelberg
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