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 molecule.
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 molecule.
Dr.Mukesh C.Sharma research area in chemistry;exploring rational drug design aided by molecular modelling techniques and small molecule synthetic organic chemistry. His work includes modern analytical techniques such as UV-Spectrophotometric and high performance liquid chromatography.He has published research papers in reputed International Journal
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