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在人类NRAS基因中识别和分析致癌性非同义单核酸多态:一个独家的in silico研究

Md Mozibullah¹, Hadieh Eslampanah Seyedi², Marina Khatun¹

¹Department of Biochemistry and Molecular Biology, Mawlana Bhashani Science and Technology University, Santosh, Tangail 1902, Bangladesh.

Journal, genetic engineering & biotechnology

|May 26, 2024

概括

这项研究使用计算工具确定了破坏性和促进癌症的NRAS基因变异. 这些发现有助于了解NRAS相关的癌症,并制定个性化医疗策略.

科学领域:

遗传学和分子生物学
生物信息学是一种生物信息学.
癌症研究癌症研究

背景情况:

该NRAS基因编码N-ras蛋白,对于细胞信号,增殖和生存至关重要.
在NRAS中的非同义单核酸多态 (nsSNP) 可以改变蛋白质结构和功能,可能导致癌症等疾病.
缺乏对NRAS nsSNP进行全面的分析,以识别有害和致癌变异.

研究的目的:

为了对人类NRAS基因进行in silico分析.
识别与癌症相关的潜在有害和瘤性NSSNP.
为未来的实验研究和个性化医学提供基础.

主要方法:

利用 10 种不同的计算工具分析了 140 种 NRAS 基因的误解变异.
识别的nsSNP根据算法分析预测是有害的.
根据它们在保护区域的位置来过有害变体,以识别致癌变体.

主要成果:

确定了7个nsSNP (I55R,G60E,G60R,Y64D,L79F,D119G,V152F) 作为具有破坏性的.
进一步确定G60E,G60R和D119G是致癌变体,因为它们位于保护区.
G60E和G60R变种显示与肺,骨髓瘤和前列腺腺癌有关.

结论:

在人类NRAS基因中通过in silico方法成功识别了有害和致癌的误解变异.
鉴定的变异可以指导未来的实验研究.
这些发现有助于开发针对NRAS相关癌症的个性化医疗方法.

关键词:

癌症癌症癌症癌症在状的中.这种基因是NRAS基因.这是一种瘤性致癌症.多态化多态化.在 nsSNP 中使用 nsSNP.

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