Abstract

REVIEW ON DRUG DESIGN AND QSAR

*Gaikwad Sumit Tanaji, Ghodekar Hitesh Somnath, Dahale Suraj Sachin, Shinde Soniya Madhukar, Bhoknal Sukanya Popat, Pawar Tejal Shankar and Prof. Mankar Sir

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Abstract

QSAR, Quantitative structure- exertion relationship has paved a way for itself into the practice of agrochemistry, pharmaceutical chemistry, toxicology and ultimately most faces of chemistry for nearly 40 times. Quantitative structure- exertion connections(QSAR) have been applied for decades in the establishment of connections between physicochemical parcels of chemical substances and their natural conditioning for making vaticination regarding the conditioning of new chemical composites using dependable statistical model. The abecedarian principle underpinning the form is that the difference in structural parcels is responsible for the variations in natural conditioning of the composites. still, this approach has only a limited mileage for designing a new patch due to the lack of consideration of the 3D structure of the motes. Indeed though the trial- and- error factor which is involved in the development of a new medicine can not be ignored fully, QSAR conceivably decreases the number of composites to be synthesized by easing the selection of the most promising supereminent campaigners. Numerous success stories of QSAR have attracted the medicinal druggists to probe the connections of structural parcels with natural exertion. Conscientious analysis and revision of independent variables has led to an expansion in development of molecular and snippet- grounded descriptors, as well as descriptors deduced from quantum chemical computations and spectroscopy. The enhancement in high- through- put webbing procedures also contributes for rapid-fire webbing of large number of composites under analogous test conditions and therefore minimizes the threat of combining variable test data from different sources.

Keywords: QSAR, 3D- QSAR, Physiochemical parcels, Hansch analysis.