发现新型多肽变形酶抑制剂:基于组合复合物的药效学建模、对接和结合亲和力研究

Vijaya Bhaskar Baki , Siva Rajesh Sivarathri , Munichandra Babu Tirumalasetty , M.V. Jyothi Kumar , Rammohan Aluru
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引用次数: 0

摘要

铜绿假单胞菌感染与各种疾病的关联性迅速增加,因此有必要开发新型药物。本研究采用了一种硅学技术来寻找针对铜绿假单胞菌肽变形酶(PaPDF)的PDF抑制剂。PaPDF 的结构与其他 PDF 相似,但结合位点研究发现,PaPDF 的口袋比金黄色葡萄球菌小,覆盖了 S1 和 S2 子口袋,并保持了保守的疏水性。利用分子动力学方法研究了修饰后的 PaPDF 的锌金属结合位点,结果发现 Cys92Ala 与 His134Ala 和 His138Ala 分别不同。基于复合物的药代动力学研究发现,口袋内有三个重要的药效特征:两个疏水性和一个氢键受体。这使我们能够利用 ChemBride 数据库进行虚拟筛选,从而发现各种具有特定抑制特性的潜在靶点。我们应用了几种限制条件,包括对接和分子力学/通用天生体积积分隐含溶剂(MM/GBVI),并测试了排名靠前的配体对活性位点关键残基的抑制特性。此外,生物利用度和毒性预测确定了七种潜在的先导物,并对今后设计和合成一类独特的 PaPDF 抑制剂的研究提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discovery of novel peptide deformylase inhibitors: Ensemble complex-based pharmacophore modeling, docking and binding affinity studies

Pseudomonas aeruginosa infections are quickly increasing in association with a variety of illnesses, necessitating the development of novel medications. This study employed an in silico technique to find PDF inhibitors against P. aeruginosa Peptide deformylase (PaPDF). PaPDF's structure is comparable to that of other PDFs; however, binding site studies found that PaPDF has a smaller pocket than Staphylococcus aureus, covering the S1 and S2 sub pockets, and maintains a conserved hydrophobic nature. The Zn metal binding site of modified PaPDFs was examined using molecular dynamics, and the results revealed that Cys92Ala differed from His134Ala and His138Ala, respectively. Complex-based pharmacophore investigation revealed three significant pharmacophoric characteristics within the pocket: two hydrophobic and one H-bond acceptor. This allows us to perform virtual screening using the ChemBride database to uncover a variety of potential hits with specific inhibitory characteristics. Several restrictions, including docking and molecular mechanics/general born-volume integral implicit solvent (MM/GBVI), were applied, and the top-ranked ligands were tested for inhibitory characteristics against key residues in the active site. Furthermore, the bioavailability and toxicity prediction identified seven potential leads and suggested future research into the design and synthesis of a unique class of PaPDF inhibitors.

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