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首页> 外文期刊>Research journal of pharmacy and technology >Computational Modeling of Novel Drug Targets ftsE and mpt83 for MDRTB and Molecular Docking of Selected Compounds from Medicinal Plants.
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Computational Modeling of Novel Drug Targets ftsE and mpt83 for MDRTB and Molecular Docking of Selected Compounds from Medicinal Plants.

机译:新型药物靶向术语术语和MDT83对药用植物中选定化合物的微型药物靶标富时的汇编和MPT83。

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Tuberculosis is the major health problem in public and it is an urgent need to find novel targets and drugs because of emergence of multiple drug resistant strains of Mycobacterium tuberculosis. The NGS data of the most virulent H37RV strain is retrieved from NCBI, SRA database and analyzed. Molecular modeling and docking studies between the homology modeled drug targets and the selected drug molecules and herbal compounds were carried out using Ligandfit in Accelrys Discovery Studio. Further, molecular docking analysis revealed that the targets ftsE and mpt83, known to be novel targets and this study has paved way for using herbal compound Allicin from Allium sativum as potential constituents to the prevention of TB.
机译:结核病是公众的主要健康问题,并且由于结核分枝杆菌多种耐药菌株的出现,迫切需要寻找新的靶标和毒品。 从NCBI,SRA数据库中检索最具毒性H37RV菌株的NGS数据并分析。 在加速发现工作室中的配体杂志进行了同源模型模型药物靶标和所选药物分子和草药化合物之间的分子建模和对接研究。 此外,分子对接分析表明,靶素富时和MPT83,已知是新的靶标,本研究已经为使用来自艾滋病患者的草药复合蛋白作为潜在成分来预防Tb的潜在成分铺成了方法。

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