An improved genetic algorithm for statistical potential function design and protein structure prediction
by Xin Geng; Jihong Guan; Qiwen Dong; Shuigeng Zhou
International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 6, No. 2, 2012

Abstract: Protein structure prediction is an important but far from being well-resolved problem in computational biology. It is generally regarded that the native structures of proteins correspond to minimum-energy states. Potential functions are useful in protein structure prediction. To obtain the optimal parameters of protein potential functions, we introduced several strategies to improve the basic Genetic Algorithm (GA). The improved GA was employed in statistical potential function design and protein structure prediction, and experimental results validate the effectiveness and efficiency of the proposed algorithm.

Online publication date: Wed, 17-Dec-2014

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