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Soft Computing Approach to Pattern Recognition and Image Processing - Part IV: Real Life Applications - Protein Structure Prediction using Soft Computing

机译:模式识别和图像处理的软计算方法 - 第四部分:现实生活应用 - 使用软计算蛋白质结构预测

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Bioinformatics is a newly emerging interdisciplinary research area involving an interface between biological and computational sciences. It encompasses proteins that play an important role in all living organism. The structure of proteins is typically made up of a sequence of ammo acids. Prediction of secondary and tertiary protein structures from these primary amino acid sequences is a challenging task. In this chapter we wish to highlight the use of soft computing tools, particularly artificial neural networks and genetic algorithms, for this purpose. The learning ability of neural networks and the searching potential of genetic algorithms are utilized in the process.
机译:生物信息学是一种新兴跨学科研究领域,涉及生物和计算科学之间的界面。它包括在所有生物体中发挥重要作用的蛋白质。蛋白质的结构通常由一系列Ammo酸组成。来自这些初级氨基酸序列的二次和叔蛋白结构的预测是一个具有挑战性的任务。在本章中,我们希望为此目的突出软计算工具,特别是人工神经网络和遗传算法的使用。在该过程中利用神经网络的学习能力和遗传算法的搜索潜力。

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