推进 DNA 信号处理:整合数字和生物细微差别,增强编码区的识别能力

A. A. Sakran, S. Hadi, W. Al-Jawher
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引用次数: 0

摘要

在复杂的 DNA 测序领域,由于普遍存在的 1/f 背景干扰,要从非编码片段中分辨出蛋白质编码区具有挑战性。传统的数字信号处理(DSP)方法虽然被广泛采用,但可能会无意中忽略 DNA 序列固有的细微差别和错综复杂性。本文对这些以 DSP 为中心的成熟方法进行了批判性研究,强调了这些方法在捕捉 DNA 固有显著特征方面可能存在的不足。值得注意的是,DNA 中的核苷酸表现出独特的属性,如三元组构型、特定的结构意义、密码子中特定的密度分布等。通过利用核苷酸的这些固有特征,计算方法可以有效抵消信号干扰,提高识别蛋白质编码区的精确度。
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Advancing DNA Signal Processing: Integrating Digital and Biological Nuances for Enhanced Identification of Coding Regions
Within the complex realm of DNA sequencing, discerning protein coding areas from non-coding segments proves challenging due to the pervasive 1/f background disturbance. Traditional digital signal processing (DSP) methodologies, while widely adopted, may inadvertently overlook the inherent nuances and intricacies of DNA sequences. This paper critically examines these established DSP-centric methodologies, underscoring their potential inadequacies in capturing the salient characteristics intrinsic to DNA. Notably, nucleotides within the DNA exhibit distinct attributes, such as their triadic configurations, specific structural significance, and particularized density distributions in codons, among other characteristics. By harnessing these inherent features of nucleotides, computational approaches can effectively counteract signal disruptions, enhancing the precision in identifying protein coding regions.
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