Drug design is the inventive process of finding new medications based on the knowledge of a biological target.Drug discovery often involves the use of QSAR to identify chemical moieties with different position that could have good inhibitory effects on specific targets and have low toxicity. Drug design approach combining 2D and 3D-QSAR analysis was used to evaluate different series analogues as angiotensin II AT1 receptor antagonists .

Hypertension has become one of the most important preventable causes for premature morbidity and mortality worldwide. To identify novel and potent antihypertensive ligands, initially 2D-QSAR, Group based QSAR, kNN based 3D-QSAR and pharmacophore were generated using namely, a series of triazolinone, quinazolinone, and benzimidazole derivatives of as Angiotensin II AT1 Receptor. In conclusion, the models developed to predict the structural features of substituted analogues angiotensin II receptor antagonists, reveals useful information about the structural features requirement for the...

Diabetes is the most common form of diabetes, accounting for over 90% of cases. Current treatment approaches for diabetes include diet, exercise, and a variety of pharmacologic agents, including insulin. The work is an attempt to generate predictive QSAR models based on QSAR method and to find the structural features of dipeptidyl peptidase IV inhibitors to guide the rational synthesis of activity. The developed models provide insight into the influence of various interactive fields on the activity and, thus, can help in designing and forecasting the dipeptidyl peptidase IV inhibitors. In...