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在乳腺癌中探索致病性SNP和雌激素受体α相互作用:一种"in silico"方法
Ahmad M Alamri1,2, Faris A Alkhilaiwi3,4, Najeeb Ullah Khan5
1Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, Abha, 61413, Saudi Arabia.
Heliyon
|September 17, 2024
概括
本研究使用计算方法分析雌激素受体1 (ESR1) 基因突变,特别是H516N. 在ESR1中的H516N突变可能会减少药物结合,影响乳腺癌治疗反应.
科学领域:
- 遗传学 是一个遗传学.
- 分子生物学分子生物学
- 计算生物学 计算生物学
背景情况:
- 雌激素受体1 (ESR1) 基因对乳腺发育至关重要.
- 包括误解突变在内的ESR1变化与乳腺癌风险增加有关.
研究的目的:
- 分析ESR1误解突变并进行分子建模.
- 研究致病性SNP H516N,以了解疾病风险和治疗潜力.
- 评估H516N对ESR1结合口袋中的药物结合的影响.
主要方法:
- 在分析中使用计算方法来识别ESR1的结合口袋中的致病性SNP.
- 进行了对接和分子内相互作用研究,以探索H516N SNP的影响.
- 为H516N生成了一个突变模型,并与野生类型和突变ESR1模型对接化胺.
主要成果:
- 在ESR1结合口袋中确定了高度致病性变体.
- 突变H516N模型显示,与胺和活性部位残留物失去稳定的键.
- 这种损失表明氧他莫西芬与突变ESR1.1的结合亲和力减少.
结论:
- 在ESR1中的H516N突变可能会降低胺素的结合亲和力.
- 这一发现可以预测患者对乳腺癌治疗中的雌激素抑制剂的反应.
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