Evaluation of Antibacterial, Cytotoxicity, and Apoptosis Activity of Novel Chromene-Sulfonamide Hybrids Synthesized Under Solvent-Free Conditions and 3D-Qsar Modeling Studies Publisher Pubmed

Summary: Researchers made new chromene-sulfonamide hybrids that showed antibacterial and cancer-cell effects in lab tests. More testing is needed. #DrugDiscovery #MedicinalChemistry

Ghomashi S¹ ; Ghomashi R² ; Damavandi MS^{3, 4} ; Fakhar Z⁵ ; Mousavi SY⁶ ; Salarijazi A^{7, 8} ; Gharaghani S⁵ ; Massah AR^{9, 10}
Source: Scientific Reports Published:2024

Abstract

In this study, eleven novel chromene sulfonamide hybrids were synthesized by a convenient method in accordance with green chemistry. At first, chromene derivatives (1–9a) were prepared through the multi-component reaction between aryl aldehydes, malononitrile, and 3-aminophenol. Then, synthesized chromenes were reacted with appropriate sulfonyl chlorides by grinding method to give the corresponding chromene sulfonamide hybrids (1–11b). Synthesized hybrids were obtained in good to high yield and characterized by IR, 1HNMR, 13CNMR, CHN and melting point techniques. In addition, the broth microdilution assay was used to determine the minimal inhibitory concentration of newly synthesized chromene-sulfonamide hybrids. The MTT test was used to determine the cytotoxicity and apoptotic activity of the newly synthesized compounds against fibroblast L929 cells. The 3D‑QSAR analysis confirmed the experimental assays, demonstrating that our predictive model is useful for developing new antibacterial inhibitors. Consequently, molecular docking studies were performed to validate the findings of the 3D-QSAR analysis, confirming the potential binding interactions of the synthesized chromene-sulfonamide hybrids with the target enzymes. Molecular docking studies were employed to support the 3D-QSAR predictions, providing insights into the binding interactions between the newly synthesized chromene-sulfonamide hybrids and their target bacterial enzymes, thereby reinforcing the potential efficacy of these compounds as antibacterial agents. Also, some of the experimental outcomes supported or conflicted with the pharmacokinetic prediction (especially about compound carcinogenicity). The performance of ADMET predictor results was assessed. The work presented here proposes a computationally driven strategy for designing and discovering a new sulfonamide scaffold for bacterial inhibition. © The Author(s) 2024.