An in silico molecular docking, ADMET and molecular dynamics simulations studies of azolyl-2H-chroman-4-ones as potential inhibitors against pathogenic fungi and bacteria.

IF 2.7 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
K V S Mani Chandrika, Prathyusha V
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引用次数: 0

Abstract

Antimicrobial resistance is a major global threat. In an attempt to discover new compounds with improved efficiency and to overcome drug resistance, a library of 3960 compounds was designed as conformationally rigid analogues of oxiconazole with 2H-chroman-4-one, azole and substituted phenyl fragments. The antifungal and antibacterial activity of the compounds was evaluated using molecular docking studies in the active site of six fungal and four bacterial proteins to establish the binding affinity of the designed ligands. In-silico ADME and Lipinski's rule were used to establish the drug-likeness properties of the compounds. This study revealed that all the designed compounds had a high binding affinity with the target proteins and formed H-bond and π-π interactions. The identified hits have been subjected to molecular dynamics simulations to study protein-ligand complex stability. This study has led to the identification of important compounds that can be developed further as therapeutic agents against pathogenic fungi and bacteria.Communicated by Ramaswamy H. Sarma.

对偶氮基-2H-色满-4-酮作为病原真菌和细菌潜在抑制剂的分子对接、ADMET 和分子动力学模拟研究。
抗菌药耐药性是全球面临的一大威胁。为了发现更高效的新化合物并克服耐药性,我们设计了一个由 3960 个化合物组成的化合物库,这些化合物是奥昔康唑与 2H-苯并吡喃-4-酮、唑和取代苯基片段的构象刚性类似物。通过在六种真菌蛋白和四种细菌蛋白的活性位点进行分子对接研究,评估了这些化合物的抗真菌和抗细菌活性,以确定所设计配体的结合亲和力。此外,还采用了体内 ADME 和 Lipinski 规则来确定化合物的药物亲和性。研究表明,所有设计的化合物都与目标蛋白质具有很高的结合亲和力,并形成了 H 键和π-π 相互作用。已确定的化合物还进行了分子动力学模拟,以研究蛋白质-配体复合物的稳定性。这项研究发现了一些重要的化合物,可进一步开发为抗病原真菌和细菌的治疗药物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Biomolecular Structure & Dynamics
Journal of Biomolecular Structure & Dynamics 生物-生化与分子生物学
CiteScore
8.90
自引率
9.10%
发文量
597
审稿时长
2 months
期刊介绍: The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.
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