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首页> 外文期刊>Progress in Artificial Intelligence >A tri-nucleotide mapping scheme based on residual volume of amino acids for short length exon prediction using sliding window DFT method
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A tri-nucleotide mapping scheme based on residual volume of amino acids for short length exon prediction using sliding window DFT method

机译：使用滑动窗口DFT方法基于氨基酸残余体积的三核苷酸映射方案

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摘要

One of the great challenges in the field of bioinformatics is how to locate the accurate protein-coding regions in a given DNA sequence. The accurate identification of the protein-coding region is useful in many applications. For instance; it helps in characterizing new proteins, drug designing, and also in revealing the evolutionary background of a particular organism. DSP based techniques are quite popular in the protein-coding region identification. The first essential step of the DSP based exon prediction technique is to convert the base sequences into the numerical sequence. The choice of the numerical mapping scheme affects how well the characteristic feature of the DNA sequence is reflected in the numerical domain which helps in finding the accurate location of exons. In the last two decades, numbers of mapping schemes have been successfully used for exon prediction. However, locating the short length exon is still a difficult task. In this paper, we have proposed a tri-nucleotide mapping scheme that exploits the residual volume property of amino acid to encode the given DNA sequence. It is obtained that the proposed tri-nucleotide mapping scheme provides better results than other mapping schemes in case of short length exon detection.
机译：生物信息学领域的巨大挑战之一是如何在给定的DNA序列中定位准确的蛋白质编码区。蛋白质编码区的精确鉴定在许多应用中是有用的。例如;它有助于表征新的蛋白质，药物设计，以及揭示特定生物的进化背景。基于DSP的技术在蛋白质编码区鉴定中非常受欢迎。基于DSP的外显子预测技术的第一基本步骤是将基本序列转换为数值序列。数值映射方案的选择会影响DNA序列的特征在数值域中的特征程度有助于找到外显子的精确位置。在过去的二十年中，映射方案的数量已成功用于外显子预测。然而，定位短长度外显子仍然是一项艰巨的任务。在本文中，我们提出了一种三核苷酸映射方案，其利用氨基酸的残留体积性能来编码给定的DNA序列。可以获得所提出的三核苷酸映射方案提供比在短长度外显子检测的情况下的其他映射方案的结果。

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