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QSAR Study of Potent Gsk-3β Inhibitor for Type II Diabetes: Chemometric analysis based methods for new therapeutic application - Couverture souple

Mishra, Pooja; Kesar, Seema

 
9783330040434: QSAR Study of Potent Gsk-3β Inhibitor for Type II Diabetes: Chemometric analysis based methods for new therapeutic application

Synopsis

This is a best book for analyzing 2D QSAR technique for determining the potent GSK-3beta inhibitor against diabetes.Computer-aided drug design is a branch of medicinal/computational chemistry and is of great interest now a day. Computer-aided design of chemical compounds with controlled properties is generally performed using computer-aided design systems.Its becoming increasingly involved in understanding the differences between potent molecules and drug candidates (ADMET-absorption, distribution, metabolism, excretion and toxicity) this is already fueling a rise in impact and expectations for CADD. The use of quantitative structure-activity relationships (QSAR) has become increasingly helpful in understanding many aspects of chemical-biological interactions in drug and other scientific research. In the present effort, we exaggerate our pursuit of being establishing the relationship between the various physiochemical parameters and anti-diabetic activity of 3-aryl- 4-(arylhydrazono)-1H pyrazol-5-ones derivatives by using classical quantitative structure– activity relationship (QSAR) descriptors and similarity indices.

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Présentation de l'éditeur

This is a best book for analyzing 2D QSAR technique for determining the potent GSK-3beta inhibitor against diabetes.Computer-aided drug design is a branch of medicinal/computational chemistry and is of great interest now a day. Computer-aided design of chemical compounds with controlled properties is generally performed using computer-aided design systems.Its becoming increasingly involved in understanding the differences between potent molecules and drug candidates (ADMET-absorption, distribution, metabolism, excretion and toxicity) this is already fueling a rise in impact and expectations for CADD. The use of quantitative structure-activity relationships (QSAR) has become increasingly helpful in understanding many aspects of chemical-biological interactions in drug and other scientific research. In the present effort, we exaggerate our pursuit of being establishing the relationship between the various physiochemical parameters and anti-diabetic activity of 3-aryl- 4-(arylhydrazono)-1H pyrazol-5-ones derivatives by using classical quantitative structure– activity relationship (QSAR) descriptors and similarity indices.

Biographie de l'auteur

Dr Pooja Mishra was born in Khalilabad & received her bachelor's as well as master degree in pharmacy from G.B.T.U & Banasthali Uni. respectively. In 2013, she joined as research fellow at Banasthali Uni, India. She is an active researcher in area of computational & synthetic chemistry for designing a bioactive molecules having multitarget approach

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