幽门螺旋杆菌新型药物靶点的鉴定:基于结构的莽草酸途径DAH7PS蛋白潜在抑制剂虚拟筛选。

IF 2.8 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Frontiers in bioinformatics Pub Date : 2024-10-18 eCollection Date: 2024-01-01 DOI:10.3389/fbinf.2024.1482338
Narjes Noori Goodarzi, Mahshid Khazani Asforooshani, Behzad Shahbazi, Nayereh Rezaie Rahimi, Farzad Badmasti
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引用次数: 0

摘要

背景:幽门螺杆菌是一种与严重胃肠道疾病和恶性肿瘤相关的细菌,由于其抗生素耐药率不断上升,给研究带来了巨大挑战。本研究旨在利用基于结构的虚拟筛选(SBVS)方法确定幽门螺杆菌的潜在药物靶点和抑制剂:方法:利用 EDGAR 数据库对 132 个幽门螺杆菌基因组进行了核心蛋白组分析。方法:利用 EDGAR 数据库对 132 个幽门螺杆菌基因组进行了核心蛋白质组分析,确定了基本基因,并排除了人类和肠道微生物同源蛋白。基于结构的虚拟筛选(SBVS)方法选择了参与莽草酸途径的 DAH7PS 蛋白。通过同源建模(基于 PDB ID:5UXM)预测了该蛋白质的三级结构。使用 AutoDock Vina 工具进行分子对接,在 StreptomeDB 化合物中找出 DAH7PS 的潜在抑制剂。分子动力学(MD)模拟评估了 DAH7PS 配体复合物的稳定性。这些复合物的结合亲和力、利平斯基五法则和 ADMET 特性得到了进一步评估:结果:共鉴定出 54 个具有理想特性的新型药物靶点。结果:共鉴定出 54 个具有理想特性的新型药物靶点,并选择 DAH7PS 作为进一步研究的对象。6,8-二羟基异香豆素-3-羧酸和表儿茶素这两种小分子也显示出良好的 RO5 和 ADMET 特性。MD 模拟证实了 DAH7PS 配体复合物的稳定性和可靠性,表明它们具有作为抑制剂的潜力:本研究发现了 54 个新的幽门螺杆菌药物靶点。结论:本研究发现了 54 种新的幽门螺杆菌药物靶点,并使用计算机辅助药物设计对 DAH7PS 蛋白作为一种有前景的药物靶点进行了评估。6,8-二羟基异香豆素-3-羧酸和表儿茶素表现出了理想的特性和稳定的相互作用,突出了它们抑制作为重要蛋白质的 DAH7PS 的潜力。毫无疑问,要将这些发现转化为治疗耐药性幽门螺杆菌的实用疗法,还需要更多的实验验证。
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Identification of novel drug targets for Helicobacter pylori: structure-based virtual screening of potential inhibitors against DAH7PS protein involved in the shikimate pathway.

Background: Helicobacter pylori, 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 H. pylori using a structure-based virtual screening (SBVS) approach.

Methods: Core-proteome analysis of 132 H. pylori 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 H. pylori. 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 H. pylori.

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Quantification of muscle fiber malformations using edge detection to investigate chronic muscle pressure ulcers. Computational identification and characterization of chitinase 1 and chitinase 2 from neotropical isolates of Beauveria bassiana. DCMA: faster protein backbone dihedral angle prediction using a dilated convolutional attention-based neural network. Identification of novel drug targets for Helicobacter pylori: structure-based virtual screening of potential inhibitors against DAH7PS protein involved in the shikimate pathway. Editorial: Women in bioinformatics.
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