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莽草酸途径中参与DAH7PS蛋白的潜在抑制剂的基于结构的虚拟筛选:新型药物靶点的鉴定

Identification of novel drug targets for : structure-based virtual screening of potential inhibitors against DAH7PS protein involved in the shikimate pathway.

作者信息

Noori Goodarzi Narjes, Khazani Asforooshani Mahshid, Shahbazi Behzad, Rezaie Rahimi Nayereh, Badmasti Farzad

机构信息

Department of Pathobiology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

Department of Bacteriology, Pasteur Institute of Iran, Tehran, Iran.

出版信息

Front Bioinform. 2024 Oct 18;4:1482338. doi: 10.3389/fbinf.2024.1482338. eCollection 2024.

Abstract

BACKGROUND

, a bacterium associated with severe gastrointestinal diseases and malignancies, poses a significant challenge because of its increasing antibiotic resistance rates. This study aimed to identify potential drug targets and inhibitors against using a structure-based virtual screening (SBVS) approach.

METHODS

Core-proteome analysis of 132 genomes was performed using the EDGAR database. Essential genes were identified and human and gut microbiota homolog proteins were excluded. The DAH7PS protein involved in the shikimate pathway was selected for the structure-based virtual screening (SBVS) approach. The tertiary structure of the protein was predicted through homology modeling (based on PDB ID: 5UXM). Molecular docking was performed to identify potential inhibitors of DAH7PS among StreptomeDB compounds using the AutoDock Vina tool. Molecular dynamics (MD) simulations assessed the stability of DAH7PS-ligand complexes. The complexes were further evaluated in terms of their binding affinity, Lipinski's Rule of Five, and ADMET properties.

RESULTS

A total of 54 novel drug targets with desirable properties were identified. DAH7PS was selected for further investigation, and virtual screening of StreptomeDB compounds yielded 36 high-affinity binding of the ligands. Two small molecules, 6,8-Dihydroxyisocoumarin-3-carboxylic acid and Epicatechin, also showed favorable RO5 and ADMET properties. MD simulations confirmed the stability and reliability of DAH7PS-ligand complexes, indicating their potential as inhibitors.

CONCLUSION

This study identified 54 novel drug targets against . The DAH7PS protein as a promising drug target was evaluated using a computer-aided drug design. 6,8-Dihydroxyisocoumarin-3-carboxylic acid and Epicatechin demonstrated desirable properties and stable interactions, highlighting their potential to inhibit DAH7PS as an essential protein. Undoubtedly, more experimental validations are needed to advance these findings into practical therapies for treating drug-resistant .

摘要

背景

,一种与严重胃肠道疾病和恶性肿瘤相关的细菌,因其抗生素耐药率不断上升而构成重大挑战。本研究旨在使用基于结构的虚拟筛选(SBVS)方法来识别针对 的潜在药物靶点和抑制剂。

方法

使用EDGAR数据库对132个 基因组进行核心蛋白质组分析。鉴定必需基因并排除人类和肠道微生物群同源蛋白。选择参与莽草酸途径的DAH7PS蛋白用于基于结构的虚拟筛选(SBVS)方法。通过同源建模(基于PDB ID:5UXM)预测该蛋白的三级结构。使用AutoDock Vina工具进行分子对接,以识别链霉菌数据库化合物中DAH7PS的潜在抑制剂。分子动力学(MD)模拟评估DAH7PS-配体复合物的稳定性。根据其结合亲和力、Lipinski五规则和ADMET性质对复合物进行进一步评估。

结果

共鉴定出54个具有理想特性的新型药物靶点。选择DAH7PS进行进一步研究,对链霉菌数据库化合物的虚拟筛选产生了36种与配体的高亲和力结合。两种小分子,6,8-二羟基异香豆素-3-羧酸和表儿茶素,也显示出良好的五规则和ADMET性质。MD模拟证实了DAH7PS-配体复合物的稳定性和可靠性,表明它们作为抑制剂的潜力。

结论

本研究鉴定出54个针对 的新型药物靶点。使用计算机辅助药物设计评估了DAH7PS蛋白作为有前景的药物靶点。6,8-二羟基异香豆素-3-羧酸和表儿茶素表现出理想的性质和稳定的相互作用,突出了它们作为抑制DAH7PS这种必需蛋白的潜力。毫无疑问,需要更多的实验验证才能将这些发现推进到治疗耐药性 的实际疗法中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6c0/11527725/b907c95aec91/fbinf-04-1482338-g001.jpg

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