Exploring binding affinities and interactions of benzimidazole derivatives via autodock molecular docking studies

Molecular docking is a computational method used to predict interactions between two structures, typically a protein and a ligand or between proteins. It evaluates binding potential through electrostatic interactions, hydrogen bonds, Van der Waals forces, and Coulombic interactions. The docking score quantifies the strength of these interactions, guiding researchers in identifying molecules with high binding affinity to target proteins. Tools like AutoDock facilitate automated docking simulations to predict how small molecules bind to receptors of known 3D structures. Similarly, BIOVIA Discovery Studio Visualizer provides advanced molecular modelling features for analysing protein-ligand interactions. Quantifying free energy, intermolecular energy, and bond energy during docking is essential for assessing the strength and stability of ligand-receptor complexes. This enables researchers to prioritize compounds with favourable binding affinities for further development. Benzimidazole derivatives have emerged as promising therapeutic agents due to their ability to interact with various biological targets, including receptors, enzymes like oxidoreductase, aromatase, and dihydrofolate reductase (DHFR), as well as specific protein kinases. These interactions make them potential candidates for treating disorders such as cancer and hormone imbalances. Their pharmacological significance stems from their ability to mimic naturally occurring biomolecules, offering broad-spectrum therapeutic properties with bioavailability, safety, and stability profiles. Oxidoreductase enzymes are particularly significant as they are implicated in diseases like cardiovascular disorders, metabolic syndrome, cancer, and neurodegenerative conditions due to their role in reactive oxygen species (ROS) generation and redox balance disruption.