In-silico design and network pharmacological approach on schiff base derivatives with sulfonamide moieties for antimicrobial property

Authors

  • Silpa M R Department of Pharmacology, The Dale View College of Pharmacy and Research Centre, Punalal, Thiruvananthapuram, India. Author
  • Alfiya S Ahmed Department of Pharmacology, The Dale View College of Pharmacy and Research Centre, Punalal, Thiruvananthapuram, India. Author
  • Daini M Panicker Department of Pharmacology, The Dale View College of Pharmacy and Research Centre, Punalal, Thiruvananthapuram, India. Author
  • Fathima R H Department of Pharmacology, The Dale View College of Pharmacy and Research Centre, Punalal, Thiruvananthapuram, India. Author
  • Sakina S Department of Pharmacology, The Dale View College of Pharmacy and Research Centre, Punalal, Thiruvananthapuram, India. Author
  • Binuja S S Department of Pharmaceutical Chemistry, The Dale View College of Pharmacy and Research Centre, Punalal, Thiruvananthapuram, India. Author
  • Jayachandran Nair C V Department of Pharmacology, The Dale View College of Pharmacy and Research Centre, Punalal, Thiruvananthapuram, India. Author

DOI:

https://doi.org/10.5530/ajphs.2026.16.86

Keywords:

In-silico design, Sulfonamides, Schiff bases, Antimicrobial Property, Docking, Network Pharmacology

Abstract

Background: Antimicrobial resistance is a global public health and economic threat. Sulfonamides are structural analogues of para-amino benzoic acid, which act as competitive inhibitors of folic acid metabolism. Although resistance has limited their use as monotherapy, sulfonamide-containing conjugates and hybrids remain valuable. Schiff bases are versatile groups with broad-spectrum biological activities, including antibacterial and antifungal properties. Objective: To design and evaluate novel Schiff base derivatives incorporating sulfonamide moieties as potential antibacterial and antifungal agents using a comprehensive in-silico drug discovery approach. Methods: A series of sulfonamide-linked Schiff bases was designed using ACD/Labs ChemSketch 12.0. All compounds were filtered according to Lipinski’s rule of five and physicochemical properties. Bioactivity scores were predicted using Molinspiration and PASS Online. ADMET profiles were assessed with admetSAR and ADMETlab2.0. Target fishing and network pharmacology analysis were performed using Swiss Target Prediction, MolsoftL.L.C, String, Gene card Venny 2.0, and Cytoscape. Molecular docking studies were carried out using Biovia Discovery Studio to evaluate binding affinity against relevant microbial targets. Results: This study has predicted the biological action of some of the proposed analogues, including the compound SB8 (4-{(Z)-[(4'-hydroxy[1,1'-biphenyl]-4-yl) methylidene] amino} benzene-1 sulfonamide), which exhibits antifungal activity and a high binding affinity for the target with a LibDock score of 93.17 and compound SB5 (4-{(E)-[(4-methyl-1H-imidazol-5-yl)methylidene]amino}benzene-1-sulfonamide) shows antibacterial activity and a binding affinity score of 71.72. Conclusion: The result showed that ligand SB5 and SB8 have high binding affinity (LibDock score: 71.72 and 71.18) to the target compared to other ligands for antibacterial activity, and ligand SB8 has high binding affinity (LibDock score: 93.17) to the target compared to other ligands for antifungal activity.

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2026-03-31

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In-silico design and network pharmacological approach on schiff base derivatives with sulfonamide moieties for antimicrobial property . (2026). Asian Journal of Pharmaceutical and Health Sciences, 16(1), 3201-3211. https://doi.org/10.5530/ajphs.2026.16.86