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Cuckoo search algorithm and its application for secondary protein structure prediction

机译:杜鹃搜索算法及其在二级蛋白质结构预测中的应用

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Protein structure prediction (PSP) is one of the most challenging problems in the field of structural bioinformatics. Determining native conformation of a protein can affect its functions and plays an important role in drug design and disease prediction. Therefore, researchers are trying to come up with different techniques in order to find more precise structures. This study investigates application of cuckoo search (CS) algorithm on the protein folding problem based on AB off-lattice model. Experiments are conducted on a set of protein sequences that are suggested in the literature. For the purpose of evaluation, we used state-of-the-art and recently developed algorithms. Comparison of the statistical results demonstrates that CS outperforms other algorithms in a meaningful way.
机译:蛋白质结构预测(PSP)是结构生物信息学领域最具挑战性的问题之一。确定蛋白质的天然构象会影响其功能,并在药物设计和疾病预测中发挥重要作用。因此,研究人员试图提出不同的技术,以找到更精确的结构。本研究探讨了布谷鸟搜索(CS)算法在基于AB非格子模型的蛋白质折叠问题中的应用。对文献中提出的一组蛋白质序列进行了实验。为了进行评估,我们使用了最新技术和最新开发的算法。统计结果的比较表明,CS以有意义的方式胜过其他算法。

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