Computational Tool and Molecular Properties to Identify the Molecular Targets of Novel Benzimidazole Derivatives as Potential COX Inhibitors via in silico Approaches

Background

Using a variety of computational techniques, in silico studies allow for forecasting structural changes and how they would impact the pharmacological properties as well as the efficiency of these modifications. The computational study of benzimidazole derivatives is the main topic of this article. All compounds' cytotoxicity against inflammation was assessed, and the outcomes showed that several of them had strong inhibitions. This study investigates the many pharmacological characteristics of benzimidazole derivatives, including their anticancer, antibacterial, antioxidant, anti-inflammatory, and anticonvulsant effects. The proposed approach summarizes each activity in silico research. The structure-activity correlations and pharmacological effects of compounds containing benzimidazole are examined in this study.

Materials and Methods

Molecular Design Suite was used to conduct Combi Lab investigations and 3D-QSAR. Schrodinger Maestro was used for the molecular docking investigation.

Results

Seven compounds (VT1 and VT16) in a library of 16 compounds created using a combinatorial approach demonstrated superior projected biological activity than the dataset's most active molecule. These chemicals exhibited proximal contact with amino acid residues on COX-2 such as TYR355 and/or ARG120.

Conclusion

This study determined the structural elements affecting by carefully changing the substituents, ring modifications, and linker groups. The logical creation and optimization of more powerful and selective molecules is made possible by these discoveries. In contrast to the reference ligand, the current study produced more powerful benzimidazoles as inhibiting compounds for COX-2 with excellent interaction. The study's findings could aid in the creation of new COX-2 inhibitors to treat inflammatory conditions.