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首页> 外文期刊>Journal of Biomolecular Structure and Dynamics >Identification of potential inhibitors for AIRS from de novo purine biosynthesis pathway through molecular modeling studies - a computational approach
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Identification of potential inhibitors for AIRS from de novo purine biosynthesis pathway through molecular modeling studies - a computational approach

机译:通过分子建模研究从头嘌呤生物合成途径中识别AIRS的潜在抑制剂-一种计算方法

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摘要

In cancer, de novo pathway plays an important role in cell proliferation by supplying huge demand of purine nucleotides. Aminoimidazole ribonucleotide synthetase (AIRS) catalyzes the fifth step of de novo purine biosynthesis facilitating in the conversion of formylglycinamidine ribonucleotide to aminoimidazole ribonucleotide. Hence, inhibiting AIRS is crucial due to its involvement in the regulation of uncontrollable cancer cell proliferation. In this study, the three-dimensional structure of AIRS from P. horikoshii OT3 was constructed based on the crystal structure from E. coli and the modeled protein is verified for stability using molecular dynamics for a time frame of 100ns. Virtual screening and induced fit docking were performed to identify the best antagonists based on their binding mode and affinity. Through mutational studies, the residues necessary for catalytic activity of AIRS were identified and among which the following residues Lys35, Asp103, Glu137, and Thr138 are important in determination of AIRS function. The mutational studies help to understand the structural and energetic characteristics of the specified residues. In addition to Molecular Dynamics, ADME properties, binding free-energy, and density functional theory calculations of the compounds were carried out to find the best lead molecule. Based on these analyses, the compound from the NCI database, NCI_121957 was adjudged as the best molecule and could be suggested as the suitable inhibitor of AIRS. In future studies, experimental validation of these ligands as AIRS inhibitors will be carried out.
机译:在癌症中,从头途径通过提供大量的嘌呤核苷酸来在细胞增殖中发挥重要作用。氨基咪唑核糖核苷酸合成酶(AIRS)催化从头进行嘌呤生物合成的第五步,有助于将甲酰基甘氨am啶核糖核苷酸转化为氨基咪唑核糖核苷酸。因此,抑制AIRS至关重要,因为它参与了不可控制的癌细胞增殖的调控。在这项研究中,基于大肠杆菌的晶体结构构建了假单胞菌OT3的AIRS的三维结构,并使用分子动力学在100ns的时间范围内验证了所建模蛋白质的稳定性。进行虚拟筛选和诱导拟合对接,以根据其结合方式和亲和力确定最佳拮抗剂。通过突变研究,鉴定了AIRS催化活性所必需的残基,其中以下残基Lys35,Asp103,Glu137和Thr138在AIRS功能测定中很重要。突变研究有助于理解特定残基的结构和能量特征。除分子动力学外,还对化合物的ADME性质,结合自由能和密度泛函理论进行了计算,以找到最佳的铅分子。根据这些分析,将NCI数据库NCI_121957的化合物确定为最佳分子,并被认为是AIRS的合适抑制剂。在未来的研究中,将对这些配体作为AIRS抑制剂进行实验验证。

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