# Synthesis, biological investigation, and in silico studies of 2-aminothiazole sulfonamide derivatives as potential antioxidants

**Authors:** Apilak Worachartcheewan, Ratchanok Pingaew, Veda Prachayasittikul, Setthawut Apiraksattayakul, Supaluk Prachayasittikul, Somsak Ruchirawat, Virapong Prachayasittikul

PMC · DOI: 10.17179/excli2024-7855 · EXCLI Journal · 2025-01-03

## TL;DR

This study synthesized and tested 2-aminothiazole sulfonamide derivatives as potential antioxidants, finding one compound with strong antioxidant activity and using computer models to design better derivatives.

## Contribution

The study introduces a new class of antioxidant compounds and uses QSAR modeling to guide the rational design of improved derivatives.

## Key findings

- Compound 8 showed potent antioxidant activity with %DPPH = 90.09% and %SOD = 99.02%.
- QSAR models predicted the antioxidant activity of 112 newly designed compounds, most of which outperformed their prototypes.
- Key properties like mass, polarizability, and structural symmetry were identified as important for antioxidant activity.

## Abstract

Antioxidant compounds have gained current interest as potential protective agents for several therapeutic applications. Antimicrobial drug resistance and infectious diseases also still be concerning globally health issues. Accordingly, the discovery of new antioxidative and antimicrobial agents is essential for human well-being. Thiazole and sulfonamide are privileged scaffolds in drug discovery due to their various bioactive properties. In this study, a series of 2-aminothiazole sulfonamide derivatives (1-12) were synthesized and investigated for their antioxidant (i.e., DPPH and SOD-mimic) and antimicrobial activities. Among tested compounds, compound 8 was the most promising one with potent DPPH and SOD (%DPPH = 90.09 %, %SOD = 99.02 %). However, none of these compounds are active antimicrobial agents. Quantitative structure-activity relationship (QSAR) modeling was performed in which the key findings were further used to guide the rational design of additional derivatives. Two antioxidant QSAR models (i.e., DPPH and SOD) were constructed using multiple linear regression (MLR) with good predictive performance. An additional set of structurally modified compounds were designed based on QSAR findings to finally obtain 112 newly designed compounds in which their activities (DPPH and SOD) were predicted. Most of the modified compounds performed better activities than their prototypes. Mass, polarizability, electronegativity, the presence of C-F bond, van der Waals volume, and structural symmetry were revealed as key properties influencing antioxidant activities. In summary, this study demonstrated the combination used of chemical synthesis, experimental assays, and computer-aided drug design for developing novel antioxidants for potential medicinal applications.

See also the graphical abstract(Fig. 1).

## Full-text entities

- **Genes:** SOD1 (superoxide dismutase 1) [NCBI Gene 6647] {aka ALS, ALS1, HEL-S-44, IPOA, SOD, STAHP}
- **Diseases:** infectious diseases (MESH:D003141)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC11830920/full.md

## Figures

12 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11830920/full.md

## References

57 references — full list in the complete paper: https://tomesphere.com/paper/PMC11830920/full.md

---
Source: https://tomesphere.com/paper/PMC11830920