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in silico Single Nucleotide Polymorphism Prediction and Design for Targeting Amyloid Precursor Protein in Alzheimers Disease

机译:在硅的单核苷酸多态性预测和靶向淀粉样蛋白前体蛋白中的多态性预测和设计

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摘要

Alzheimer's disease is a progressive neurodegenerative disorder, is the common cause of dementia and affect life quality. Present research analysis is based on the amyloid precursor protein as it is one of the major biomarkers of Alzheimer's disease, the insoluble part of which gets deposited due to the inappropriate cleavage by secretase enzyme. The instrumental part of this study was performed by using Computer Aided Drug Design (CADD). About 23 phytoconstituents were taken, from these constituents rosamarinic acid produced the highest docking score. Preliminary characterizations of all the ligands were conducted using Biovia Discovery studio along with protein characterization, Lipinski rule analysis and ADMET. The in silico analysis convincingly predicted the action of rosamarinic acid, against the formation of amyloid plaque by binding with the amyloid precursor protein .Details of single nucleotide polymorphism on gene APPI were analyzed by dbSNP database and displays the need for further in vitro study.
机译:阿尔茨海默病是一种进步神经退行性疾病,是痴呆症的常见原因,影响生活质量。目前的研究分析基于淀粉样蛋白前体蛋白,因为它是阿尔茨海默病的主要生物标志物之一,其不溶于部分因分泌酶的裂解而被沉积。本研究的仪器部分是通过使用计算机辅助药物设计(CADD)进行的。采用约23种植物选,由这些组分葡聚糖酸产生最高的对接得分。使用Biovia Discovery Studio进行所有配体的初步表征以及蛋白质表征,Lipinski规则分析和呼叫。在Silico分析中令人信服地预测玫瑰酰酸的作用,通过与淀粉样蛋白前体蛋白结合来形成淀粉样蛋白斑块。通过DBSNP数据库分析了对基因APPI的单核苷酸多态性的甲醛,并显示了进一步的体外研究的需要。

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