针对耐甲氧西林金黄色葡萄球菌 VraSR 双组分系统的磺胺类药物的硅学和结构研究。

IF 2.7 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Abhishek Kumar Verma, Sandeep Kumar Srivastava
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引用次数: 0

摘要

耐药性金黄色葡萄球菌是全球关注的健康问题。多项研究表明,这些菌株能对细胞壁抗生素(如针对细胞壁生物合成的β-内酰胺类、糖肽类和达托霉素)产生防御作用。这些反应的协调与组氨酸激酶蛋白(VraS)及其同源调节因子 VraR 调节的双组分系统(TCS)有关,VraR 在识别信号后会影响目标 DNA。基于计算机的筛选方法、预测和模拟已成为从大型数据库中针对新出现的药物靶点识别有前景的新化合物线索的更高效、更快速的方法,从而可以预测出一小部分分子供进一步验证。这些综合方法节省了宝贵的时间和资源。由于甲氧西林的耐药性,磺胺衍生物药物被认为是治疗金黄色葡萄球菌感染的有效治疗策略。本研究利用配体虚拟筛选(LBVS)技术,从抗菌化合物库中找出了针对 VraSR 信号转导元件 VraS 和 VraR 的强效磺酰胺衍生物抑制剂。我们鉴定出了有前景的磺酰胺衍生物[化合物 5:(4-[(1-{[(3,5-二甲氧基苯基)氨基甲酰基]甲基}-2,4-二氧代-1,2,3,4-四氢喹唑啉-3-基)甲基]-N-[(呋喃-2-基)甲基]苯甲酰胺],其与传感器激酶 VraS 的 ATP 结合域的合理结合参数为 -31.38 kJ/mol,ΔGbind 得分为 -294.32 kJ/mol。我们进一步鉴定了 N1(PCID83276726)、N3(PCID83276757)、N9(PCID3672584)和 N10(PCID20900589)四种化合物,它们与 VraR DNA 结合结构域(VraRC)的ΔGbind 能量分别为-190.27、-237.54、-165.21 和-190.88 kJ/mol。结构和模拟分析进一步表明,它们与 DNA 相互作用的残基有稳定的相互作用,并有可能破坏 DNA 结合域的二聚化;因此,有必要进一步研究和鉴定它们作为 VraR 二聚体破坏物的特性,并抑制其他启动子结合位点。有趣的是,针对 VraS 和 VraR 的药物的发现可能会为耐药性金黄色葡萄球菌开辟新的治疗途径。这些基于筛选、模拟和与 VraSR 成分结合亲和力的预测有望为抗药性金黄色葡萄球菌开辟新的治疗途径,并为重新定位工作提供了机会。这些工作的目的是开发出具有更强效力和选择性的类似物,以对抗对 MRSA 或 VRSA 的毒力有重大贡献的双组分信号系统。这些分析为通过计算驱动的药物发现策略来对抗抗生素耐药性金黄色葡萄球菌的潜在途径提供了宝贵的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In silico and structural investigation of sulfonamides targeting VraSR two component system in methicillin-resistant Staphylococcus aureus.

Drug-resistant Staphylococcus aureus strains are global health concerns. Several studies have shown that these strains can develop defences against cell wall antibiotics such as β-lactams, glycopeptides and daptomycin which target cell wall biosynthesis. The coordination of these responses have been associated with two component system (TCS) regulated by histidine kinase protein (VraS) and its cognate regulator VraR which influences the target DNA upon signal recognition. Computer-based screening methods, predictions and simulations have emerged as more efficient and quick ways to identify promising new compound leads from large databases against emerging drug targets thus allowing prediction of small select set of molecules for further validations. These combined approaches conserve valuable time and resources. Due to methicillin resistance, sulfonamide-derivative medications have been found to be effective treatment strategy to treat S. aureus infections. The current study used ligand-based virtual screening (LBVS) to identify powerful sulfonamide derivative inhibitors from an antibacterial compound library against VraSR signaling components, VraS and VraR. We identified promising sulfonamide derivative [compound 5: (4-[(1-{[(3,5-Dimethoxyphenyl)Carbamoyl]Methyl}-2,4-Dioxo-1,2,3,4-Tetrahydroquinazolin-3-Yl)Methyl]-N-[(Furan-2-Yl)Methyl]Benzamide)] with reasonable binding parameters of -31.38 kJ/mol and ΔGbind score of -294.32 kJ/mol against ATP binding domain of sensor kinase VraS. We further identified four compounds N1 (PCID83276726), N3 (PCID83276757), N9 (PCID3672584), and N10 (PCID20900589) against VraR DNA binding domain (VraRC) with ΔGbind energies of -190.27, -237.54, -165.21, and -190.88 kJ/mol, respectively. Structural and simulation analyses further suggest their stable interactions with DNA interacting residues and potential to disrupt DNA binding domain dimerization; therefore, it is prudent to further investigate and characterize them as VraR dimer disruptors and inhibit other promoter binding site. Interestingly, the discovery of drugs that target VraS and VraR may open new therapeutic avenues for drug-resistant S. aureus. These predictions based on screening, simulations and binding affinities against VraSR components hold promise for opening novel therapeutic avenues against drug-resistant S. aureus and present opportunities for repositioning efforts. These efforts aim to create analogs with enhanced potency and selectivity against two-component signaling systems that significantly contribute to virulence in MRSA or VRSA. These analyses contribute valuable insights into potential avenues for combating antibiotic-resistant S. aureus through computationally driven drug discovery strategies.

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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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