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Updated: Apr 13, 2026

Biosensor for Detection of Antibiotic Resistant Staphylococcus Bacteria
Published on: May 8, 2013
In silico and structural investigation of sulfonamides targeting VraSR two component system in methicillin-resistant
Abhishek Kumar Verma1, Sandeep Kumar Srivastava1
1Structural Biology & Bioinformatics Laboratory, Department of Biosciences, Manipal University Jaipur, Jaipur, Rajasthan, India.
Abstract:
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.
Insights
Drug-resistant Staphylococcus aureus strains pose a global threat. This study identified novel sulfonamide derivatives targeting the VraSR two-component system, offering potential new treatments for antibiotic-resistant infections.
Area of Science:
- Microbiology
- Computational Chemistry
- Drug Discovery
Background:
- Drug-resistant *Staphylococcus aureus* (*S. aureus*) is a significant global health concern.
- The VraSR two-component system (TCS), regulated by histidine kinase VraS and response regulator VraR, is crucial for *S. aureus* resistance to cell wall-targeting antibiotics.
- Sulfonamide derivatives have shown efficacy against *S. aureus* infections, particularly in methicillin-resistant strains.
Purpose of the Study:
- To identify potent sulfonamide derivative inhibitors targeting the VraSR TCS in *S. aureus* using computational methods.
- To evaluate the binding affinities and interactions of identified compounds with VraS and VraR components.
- To explore novel therapeutic strategies against antibiotic-resistant *S. aureus*.
Main Methods:
- Ligand-based virtual screening (LBVS) of an antibacterial compound library against VraS and VraR.
- Computational prediction and simulation of molecular interactions and binding energies.
- Analysis of binding parameters, including ΔGbind, for identified sulfonamide derivatives.
Main Results:
- A promising sulfonamide derivative was identified with a binding energy of -294.32 kJ/mol against the VraS ATP binding domain.
- Four compounds (N1, N3, N9, N10) showed significant binding energies against the VraR DNA binding domain, ranging from -165.21 to -237.54 kJ/mol.
- Structural and simulation analyses indicated stable interactions and potential disruption of VraR dimerization, suggesting inhibition of DNA binding.
Conclusions:
- The identified sulfonamide derivatives show promise as inhibitors of the VraSR TCS in *S. aureus*.
- These compounds represent potential leads for developing new therapeutic agents against drug-resistant *S. aureus* strains.
- Computational drug discovery strategies, including LBVS and simulations, are effective for identifying novel antibacterial leads targeting key virulence factors.
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