Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330040432 ISBN 13: 9783330040434
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330040432 ISBN 13: 9783330040434
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Añadir al carritoPaperback. Condición: Brand New. 64 pages. 8.66x5.91x0.15 inches. In Stock.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330040432 ISBN 13: 9783330040434
Librería: preigu, Osnabrück, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. QSAR Study of Potent Gsk-3¿ Inhibitor for Type II Diabetes | Chemometric analysis based methods for new therapeutic application | Pooja Mishra (u. a.) | Taschenbuch | 64 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330040434 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Feb 2017, 2017
ISBN 10: 3330040432 ISBN 13: 9783330040434
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 64 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330040432 ISBN 13: 9783330040434
Librería: Majestic Books, Hounslow, Reino Unido
EUR 57,65
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330040432 ISBN 13: 9783330040434
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330040432 ISBN 13: 9783330040434
Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mishra PoojaDr 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.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Feb 2017, 2017
ISBN 10: 3330040432 ISBN 13: 9783330040434
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 35,90
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330040432 ISBN 13: 9783330040434
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 37,20
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.