Computational chemistry is a robust and economical tool for designing and developing potent therapeutic molecules. Benzimidazole and its analogues are compounds with a unique pharmacophore that derives its application as broad-spectrum antimicrobial agents. A quantitative structureactivity relationship (QSAR) study was performed using a data set of 28 benzimidazole analogues with antimicrobial activity. Descriptors were generated using various free software's such as PaDEL-Descriptor, SwissADME and OCHEM (Online chemical modelling environment). The statistical analysis was performed using the Stats. Blue software by multiple linear regression (MLR) method for determining the relationship between dependant variable and various independent variables. The best QSAR model had an r 2 value of 0.6773, and the predictive r 2 value for external validation was 0.7150. The results show that a positive correlation is established between the descriptors, TPSA (Topological polar surface area), H-bond acceptors, iLOGP (Implicit LOGP), GGI4 (Galvez topological charge indices of order 4), thereby achieving the most accurate outputs.
INTRODUCTION:Benzimidazole is a versatile pharmacophore in medicinal chemistry to design and develop novel molecules of therapeutic importance. It is a heterocyclic organic compound formed by fusing an imidazole nucleus with a benzene ring containing 2 nitrogen atoms at positions 1 and 3, exhibiting an amphoteric nature 1 . The chief bioactive candidate, benzimidazole, exhibits a range of biological activities including anti-bacterial, anti-oxidant, anti-inflammatory, anticancer, anthelmintic, anti-ulcer, antipsychotic, antiprotozoal and anti-bacterial antifungal.