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通过分子模拟研究从从头嘌呤生物合成途径中鉴定AIRS的潜在抑制剂——一种计算方法。

Identification of potential inhibitors for AIRS from de novo purine biosynthesis pathway through molecular modeling studies - a computational approach.

作者信息

Rao R Guru Raj, Biswal Jayashree, Dhamodharan Prabhu, Kanagarajan Surekha, Jeyaraman Jeyakanthan

机构信息

a Structural Biology and Bio-Computing Lab, Department of Bioinformatics , Alagappa University , Karaikudi 630 004 , Tamil Nadu , India.

出版信息

J Biomol Struct Dyn. 2016 Oct;34(10):2199-213. doi: 10.1080/07391102.2015.1110833. Epub 2016 May 19.

DOI:10.1080/07391102.2015.1110833
PMID:26524231
Abstract

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 100 ns. 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.

摘要

在癌症中,从头合成途径通过提供对嘌呤核苷酸的巨大需求,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)催化从头嘌呤生物合成的第五步,促进甲酰甘氨脒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,因为它参与了对无法控制的癌细胞增殖的调节。在本研究中,基于大肠杆菌的晶体结构构建了来自堀越氏栖热放线菌OT3的AIRS三维结构,并使用分子动力学在100纳秒的时间范围内对建模蛋白的稳定性进行了验证。进行虚拟筛选和诱导契合对接,以根据其结合模式和亲和力确定最佳拮抗剂。通过突变研究,确定了AIRS催化活性所需的残基,其中以下残基Lys35、Asp103、Glu137和Thr138在确定AIRS功能方面很重要。突变研究有助于了解特定残基的结构和能量特征。除了分子动力学,还对化合物进行了ADME性质、结合自由能和密度泛函理论计算,以找到最佳先导分子。基于这些分析,来自美国国立癌症研究所数据库的化合物NCI_121957被判定为最佳分子,并可被建议作为合适的AIRS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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