A QSAR study to predict the survival motor neuron promoter activity of candidate diaminoquinazoline derivatives for the potential treatment of spinal muscular atrophy.

IF 2.3 3区 环境科学与生态学 Q3 CHEMISTRY, MULTIDISCIPLINARY SAR and QSAR in Environmental Research Pub Date : 2023-03-01 DOI:10.1080/1062936X.2023.2200975
G Sabuncu Gürses, S S Erdem, M T Saçan
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Abstract

Spinal Muscular Atrophy is a genetic neuromuscular disease that leads to muscle weakness and atrophy and it is characterized by the loss of α-motor neurons in the spinal cord's anterior horn cells. The disease appears due to low levels of the survival motor neuron protein. There are continuing clinical trials for the treatment of Spinal Muscular Atrophy. Quinazoline-based compounds are promising since they were tested on fibroblasts derived from the patients and found to increase the survival motor neuron protein levels. In this study, using multiple linear regression, we generated robust and valid quantitative structure- activity relationship models to predict the survival motor neuron-2 promoter activity of the new candidate compounds using the experimental survival motor neuron-2 promoter activity values of 2,4-diaminoquinazoline derivatives taken from the literature. The novel compounds designed by combining the pyrido[1,2-α]pyrimidin-4-one moeity of the known drug Risdiplam with that of 2,4 - diaminoquinazoline scaffold were predicted to exhibit strong promoter activities.

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一项预测脊髓性肌萎缩症候选二氨基喹唑啉衍生物的存活运动神经元启动子活性的QSAR研究。
脊髓性肌萎缩症是一种导致肌肉无力和萎缩的遗传性神经肌肉疾病,其特征是脊髓前角细胞中α-运动神经元的丧失。这种疾病的出现是由于存活运动神经元蛋白水平低。治疗脊髓性肌萎缩症的临床试验仍在继续。基于喹唑啉的化合物很有希望,因为它们在来自患者的成纤维细胞上进行了测试,发现可以提高存活的运动神经元蛋白水平。在本研究中,我们利用文献中2,4-二氨基喹唑啉衍生物的实验存活运动神经元-2启动子活性值,利用多元线性回归,建立了稳健有效的定量结构-活性关系模型,预测新候选化合物的存活运动神经元-2启动子活性。将已知药物Risdiplam的吡啶[1,2-α]嘧啶-4- 1分子与2,4 -二氨基喹唑啉支架分子结合设计的新化合物预计具有较强的启动子活性。
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来源期刊
CiteScore
5.20
自引率
20.00%
发文量
78
审稿时长
>24 weeks
期刊介绍: SAR and QSAR in Environmental Research is an international journal welcoming papers on the fundamental and practical aspects of the structure-activity and structure-property relationships in the fields of environmental science, agrochemistry, toxicology, pharmacology and applied chemistry. A unique aspect of the journal is the focus on emerging techniques for the building of SAR and QSAR models in these widely varying fields. The scope of the journal includes, but is not limited to, the topics of topological and physicochemical descriptors, mathematical, statistical and graphical methods for data analysis, computer methods and programs, original applications and comparative studies. In addition to primary scientific papers, the journal contains reviews of books and software and news of conferences. Special issues on topics of current and widespread interest to the SAR and QSAR community will be published from time to time.
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