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在STAT3中预测有害的非同义SNP的in silico预测

Athira Ajith¹, Usha Subbiah¹

¹Human Genetics Research Centre, Sree Balaji Dental College and Hospital, Bharath Institute of Higher Education and Research, Chennai 600100, Tamil Nadu, India.

Asian biomedicine : research, reviews and news

|October 20, 2023

概括

我们使用计算工具确定了六种有害的STAT3基因突变. 这些特定的单核酸多态 (SNP) 可能会影响蛋白质功能,并作为癌症和自身免疫性疾病等疾病的诊断目标.

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
免疫学免疫学免疫学

背景情况:

在免疫,癌症和自身免疫性疾病中,STAT3基因至关重要.
在STAT3中非同义单核酸多态 (nsSNP) 可以改变蛋白质结构和功能.
STAT3与炎症性肠病的病原发生有关.

研究的目的:

在STAT3基因中识别易患疾病的单核酸多态 (SNP).
预测STAT3突变中的结构变化,这些变化可能会破坏蛋白质-蛋白质相互作用.
利用计算算法来分析 nsSNP 对 STAT3.3 的影响.

主要方法:

使用多个in silico工具 (SIFT,PolyPhen v2,PROVEAN,PhD-SNP,SNPs&GO) 来识别STAT3的sSNP.
利用I-Mutant,ConSurf和DynaMut来评估潜在的有害SNP并预测结构变化.
根据保存,结构构成,溶剂可访问性,二次结构和蛋白质与蛋白质相互作用来评估SNP影响.

主要成果:

在STAT3基因中确定了417个nsSNP.
通过in silico算法,六个nsSNP被预测为有害的.
根据综合分析,最有害的nsSNP包括V507F,R335W,E415K,K591M,F561Y和Q32K.

结论:

在STAT3 nsSNP的in silico预测可以帮助遗传咨询和突变确认.
已确定的六种有害的STAT3 nsSNP代表了蛋白质组研究和诊断的潜在目标.
这些发现可以指导STAT3相关疾病的治疗干预措施.

关键词:

在状的中.在STAT3中,我们可以使用STAT3.这是有害的,有害的.预测预测预测预测单个核酸的多态性.

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