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生物信息学工具用于识别ACE异型1前体基因的结构和功能影响

D Pai¹, U Adiga², S Adiga³

¹Department of Anatomy, K.S Hegde Medical Academy, NITTE (Deemed to be University), Mangalore, Karnataka, 575018, India.

La Clinica terapeutica

|June 17, 2025

概括

生物信息学工具在ACE基因中确定了功能单核酸多态 (SNP),有助于糖尿病病研究. 这种分析可以为患有病风险的患者提供个性化医疗.

科学领域:

遗传学和生物信息学遗传学和生物信息学
分子生物学分子生物学
腎臟病學 (nephrology) 是一種醫學專業.

背景情况:

遗传变异,特别是单核酸多态 (SNP),显著影响人类表型和疾病易感性.
糖尿病病,是糖尿病的微血管并发症,随着病情的进展,经常需要置换疗法.
ангиотензин转化酶 (ACE) 基因是宁- ангиотензин系统的关键组成部分,在血压调节和脏血液动力学中起着至关重要的作用.

研究的目的:

使用生物信息学工具在ACE异型1前体基因内识别功能性SNP.
使用SIFT和PROVEAN分析特定的ACE rs267604983基因变异.
执行HOPE建模,以进一步描述已识别的SNP.

主要方法:

生物信息学工具包括SIFT (分类不耐受和耐受) 和PROVEAN (蛋白质变异效应分析仪).
这些工具用于选和识别ACE异型前体1基因中的功能单核酸多态 (SNP).

主要成果:

对ACE前体基因的分析确定了9,680个SNP,其中100%的编码变异是由SIFT预测的.
SIFT分析表明,30%的变化是有害的,94%是非同义的.
在PROVEAN的分析中,25%的变异被归类为有害的,65%被归类为可容忍的.

结论:

在分析,结合实验研究,可以为糖尿病病的复杂性提供新的见解.
来自生物信息学工具的功能性SNP预测可能有助于为患有糖尿病病风险的个体开发个性化药物和向治疗.

关键词:

这是ACEACEACEACEA.证明得分是可以证明的.在 SIFT 系统中,在SNP中,SNP是SNP.基因基因基因基因

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