Sequence-similarity-based approach to SARS-CoV-2 genome sequence and lung cancer-related genes via multivariate feature extraction method.

IF 1.7 4区医学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-07-11 DOI:10.1080/10255842.2025.2530645

Nazife Çevik, Taner Çevik, Jawad Rasheed, Sachi Nandan Mohanty, Halil Ibrahim Cakar, Shtwai Alsubai

引用次数: 0

Abstract

The COVID-19 pandemic has prompted genomic studies linking SARS-CoV-2 and lung cancer-related genes. This study explores sequence similarity and motif patterns to assess disease susceptibility. We applied a data mining approach to compare human and SARS-CoV-2 genomes, revealing high sequence identity (0.74-0.99%) with lung cancer-related genes. Low-entropy motifs were associated with higher genetic risk. We identified shared patterns of lengths 4, 5, and 10, selecting the most significant motifs. These findings support the hypothesis that sequence similarity and conserved motifs provide insights into gene function, evolutionary processes, and the genetic links between cancer and viral infections.

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基于序列相似性的SARS-CoV-2基因组序列和肺癌相关基因多变量特征提取方法

COVID-19大流行促使了将SARS-CoV-2与肺癌相关基因联系起来的基因组研究。本研究探讨了序列相似性和基序模式来评估疾病易感性。我们应用数据挖掘方法比较了人类和SARS-CoV-2基因组，揭示了与肺癌相关基因的高序列一致性（0.74-0.99%）。低熵基序与较高的遗传风险相关。我们确定了长度为4,5和10的共享模式，选择了最重要的图案。这些发现支持了序列相似性和保守基序的假设，为基因功能、进化过程以及癌症和病毒感染之间的遗传联系提供了见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computer Methods in Biomechanics and Biomedical Engineering 工程技术-工程：生物医学

CiteScore

4.10

自引率

6.20%

发文量

179

审稿时长

4-8 weeks

期刊介绍： The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.