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首页> 外文期刊>Journal of Biomolecular Structure and Dynamics >Energy-optimized pharmacophore coupled virtual screening in the discovery of quorum sensing inhibitors of LasR protein of Pseudomonas aeruginosa
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Energy-optimized pharmacophore coupled virtual screening in the discovery of quorum sensing inhibitors of LasR protein of Pseudomonas aeruginosa

机译:能源优化的药物耦合虚拟筛选在铜绿假单胞菌的LASR蛋白的批量传感抑制剂发现中

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Pseudomonas aeruginosa is an emerging opportunistic pathogen responsible for cystic fibrosis and nosocomial infections. In addition, empirical treatments are become inefficient due to their multiple-antibiotic resistance and extensive colonizing ability. Quorum sensing (QS) plays a vital role in the regulation of virulence factors in P. aeruginosa. Therefore, attenuation of virulence by QS inhibition could be an alternative and effective approach to control the infections. In this study, we sought to discover new QS inhibitors (QSIs) against LasR receptor in P. aeruginosa using chemoinformatics. Initially, a structure-based high-throughput virtual screening was performed using the LasR active site that identified 61404 relevant molecules. The e-pharmacophore (ADAHH) screening of these molecules rendered 72 QSI candidates. In standard-precision docking, only 7 compounds were found as potential QSIs based on their higher binding affinity to LasR receptor (-7.53 to -10.32 kcal/mol compared to -7.43 kcal/mol of native ligand). The ADMET properties of these compounds were suitable to be QSIs. Later, extra-precision docking and binding energy calculation suggested ZINC19765885 and ZINC72387263 as the most promising QSIs. The dynamic simulation of the docked complexes showed stable binding affinity and molecular interactions. The current study suggested that these two compounds could be used in P. aeruginosa QS inhibition to combat bacterial infections. Communicated by Ramaswamy H. Sarma
机译:铜绿假单胞菌(Pseudomonas aeruginosa)是一种新兴的机会致病菌,与囊性纤维化和医院感染有关。此外,经验性治疗由于其多重抗生素耐药性和广泛的定植能力而变得效率低下。群体感应(QS)在铜绿假单胞菌毒力因子的调节中起着至关重要的作用。因此,通过QS抑制降低毒力可能是控制感染的另一种有效方法。在这项研究中,我们试图利用化学信息学在铜绿假单胞菌中发现新的针对LasR受体的QS抑制剂(QSI)。最初,利用识别61404个相关分子的LasR活性位点进行了基于结构的高通量虚拟筛选。这些分子的e-药效团(ADAH)筛选提供了72个QSI候选。在标准精密对接中,仅发现7种化合物作为潜在QSI,因为它们对LasR受体具有更高的结合亲和力(-7.53至-10.32 kcal/mol,而天然配体为-7.43 kcal/mol)。这些化合物的ADMET性质适用于QSIs。后来,超精密对接和结合能计算表明ZINC19765885和ZINC72387263是最有前途的QSI。对接配合物的动力学模拟显示了稳定的结合亲和力和分子相互作用。目前的研究表明,这两种化合物可用于抑制铜绿假单胞菌QS,以对抗细菌感染。由拉玛斯瓦米·H·萨尔玛传达

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