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首页> 外文期刊>Biological Procedures Online >Combination of Biodata Mining and Computational Modelling in Identification and Characterization of ORF1ab Polyprotein of SARS-CoV-2 Isolated from Oronasopharynx of an Iranian Patient
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Combination of Biodata Mining and Computational Modelling in Identification and Characterization of ORF1ab Polyprotein of SARS-CoV-2 Isolated from Oronasopharynx of an Iranian Patient

机译:伊朗患者Oronasopharynx中SARS-COV-2鉴定及算法鉴定及鉴定的组合及表征SARS-COV-2

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摘要

Coronavirus disease 2019 (COVID-19) is an emerging zoonotic viral infection, which was started in Wuhan, China, in December 2019 and transmitted to other countries worldwide as a pandemic outbreak. Iran is one of the top ranked countries in the tables of COVID-19-infected and -mortality cases that make the Iranian patients as the potential targets for diversity of studies including epidemiology, biomedical, biodata, and viral proteins computational modelling studies. In this study, we applied bioinformatic biodata mining methods to detect CDS and protein sequences of ORF1ab polyprotein of SARS-CoV-2 isolated from oronasopharynx of an Iranian patient. Then through the computational modelling and antigenicity prediction approaches, the identified polyprotein sequence was analyzed. The results revealed that the identified ORF1ab polyprotein belongs to a part of nonstructural protein 1 (nsp1) with the high antigenicity residues in a glycine-proline or hydrophobic amino acid rich domain. The results revealed that nsp1 as a virulence factor and crucial agent in spreading of the COVID-19 among the society can be a potential target for the future epidemiology, drug, and vaccine studies.
机译:Coronavirus疾病2019(Covid-19)是一个新兴的人畜病病毒感染,该病毒感染于2019年12月在中国武汉开始,并将全球其他国家作为大流行爆发转交。伊朗是Covid-19感染和 - 患者表中的最高排名国家之一,使伊朗患者成为流行病学,生物医学,生物数据和病毒蛋白计算建模研究等研究的潜在目标。在这项研究中,我们应用生物信息化生物数据挖掘方法来检测从伊朗患者的Oronasopharynx中分离的SARS-CoV-2的Orf1ab Polyprotein的CD和蛋白质序列。然后通过计算建模和抗原性预测方法,分析了所识别的多蛋白序列。结果表明,所鉴定的ORF1ab多蛋白属于非结构蛋白1(NSP1)的一部分,具有甘氨酸 - 脯氨酸或疏水性氨基酸富域中的高抗原性残留物。结果显示,NSP1作为毒力因子和在社会中的Covid-19蔓延的关键因素可以是未来流行病学,药物和疫苗研究的潜在目标。

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