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Identification of novel bacterial urease inhibitors through molecular shape and structure based virtual screening approaches

机译:通过分子形状和基于结构的虚拟筛选方法鉴定新型细菌脲酶抑制剂

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The enzyme urease is an essential colonizing factor of the notorious carcinogenic pathogen Helicobacter pylori ( H. pylori ), conferring acid resistance to the bacterium. Recently, antibiotic resistant strains have emerged globally with little to no alternative treatment available. In this study we propose novel urease inhibitors capable of controlling infection by H. pylori and other pathogenic bacteria. We employed hierarchal computational approaches to screen new urease inhibitors from commercial chemical databases followed by in vitro anti-urease assays. Initially ROCS shape-based screening was performed using o -chloro-hippurohydroxamic acid followed by molecular docking studies. Out of 1.83 million compounds, 1700 compounds were retrieved based on having a ROCS Tanimoto combo score in the range of values from 1.216 to 1.679. These compounds were further screened using molecular docking simulations and the 100 top ranked compounds were selected based on their Glide score. After structural classification of the top ranked compounds, eight compounds were selected and purchased for biological assays. The plausible binding modes of the most active compounds were also confirmed using molecular dynamics (MD) simulations. Compounds 1 , 2 and 3 demonstrated good urease inhibitory properties (IC _(50) = 0.32, 0.68 and 0.42 μM) compared to the other compounds. Enzyme kinetic studies revealed that compounds 1 and 3 are competitive inhibitors while 2 is a mixed type inhibitor of the urease enzyme. Cell based urease inhibition and MTT assay showed that these compounds blocked H. pylori urease activity, affecting bacterial growth and acid tolerance.
机译:酶脲酶是臭氧致癌病原体幽门螺杆菌(H. pylori)的必要殖民因子,赋予细菌的酸性抗性。最近,抗生素抗性菌株在全球范围内出现,几乎没有任何可用的替代治疗。在这项研究中,我们提出了能够通过H.幽门螺杆菌和其他致病细菌进行控制感染的新型脲酶抑制剂。我们采用层次的计算方法来筛选来自商业化学数据库的新脲酶抑制剂,然后进行体外抗尿素测定。最初使用o -Chloro-Hippuro羟肟酸,然后进行分子对接研究进行基于ROC的基于ROC的筛选。基于在从1.216至1.679的值范围内获得Rocs Tanimoto Combo评分,检出183万化合物,获得1700种化合物。使用分子对接模拟进一步筛选这些化合物,并且基于其滑翔评分选择100个顶部排名化合物。在排名最高的化合物的结构分类之后,选择8种化合物并购买用于生物测定。使用分子动力学(MD)模拟还确认最活性化合物的可粘性结合模式。与其他化合物相比,化合物1,2和3显示出良好的尿素抑制性能(IC _(50)= 0.32,0.68和0.42μm)。酶动力学研究表明,化合物1和3是竞争性抑制剂,而2是脲酶的混合型抑制剂。基于细胞基脲酶抑制和MTT测定表明,这些化合物阻断了幽门螺杆菌脲酶活性,影响细菌生长和耐酸性。

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