Evaluation of Aqueous Solubility of Hydroxamic Acids by Pls Modelling (Paperback)
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Evaluation of Aqueous Solubility of Hydroxamic Acids by PLS Modelling
DE PB NW
ISBN: 9783659308345 bzw. 365930834X, in Deutsch, LAP LAMBERT Academic Publishing, Taschenbuch, neu.
Von Händler/Antiquariat, BuySomeBooks [52360437], Las Vegas, NV, U.S.A.
Paperback. 68 pages. Dimensions: 8.7in. x 5.9in. x 0.2in.The aqueous solubility of drugs plays a key role in pharmaceutical, environmental and biological processes. It is an important factor in the ADMET (absorption, distribution, metabolism, elimination and toxicity) research. Since the experimental determination of water solubility is time-consuming therefore, reliable computational predictions are used for the pre-selection of acceptable drug like compounds. The Partial Least Squares (PLS) regression is a statistical method that bears some relation to principal components regression. PLS finds a linear regression model by projecting the predicted variables and the observable variables to a new space. In the present study, PLS regression is employed to model quantitative structure-property relationship (QSPR) for the aqueous solubility of 24 drug like molecules, N-arylhydroxamic acids by applying 15 physico-chemical properties as molecular descriptors. The prediction results are acceptable. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
Paperback. 68 pages. Dimensions: 8.7in. x 5.9in. x 0.2in.The aqueous solubility of drugs plays a key role in pharmaceutical, environmental and biological processes. It is an important factor in the ADMET (absorption, distribution, metabolism, elimination and toxicity) research. Since the experimental determination of water solubility is time-consuming therefore, reliable computational predictions are used for the pre-selection of acceptable drug like compounds. The Partial Least Squares (PLS) regression is a statistical method that bears some relation to principal components regression. PLS finds a linear regression model by projecting the predicted variables and the observable variables to a new space. In the present study, PLS regression is employed to model quantitative structure-property relationship (QSPR) for the aqueous solubility of 24 drug like molecules, N-arylhydroxamic acids by applying 15 physico-chemical properties as molecular descriptors. The prediction results are acceptable. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
2
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Evaluation of Aqueous Solubility of Hydroxamic Acids by PLS Modelling (2013)
DE PB NW RP
ISBN: 9783659308345 bzw. 365930834X, in Deutsch, LAP Lambert Academic Publishing Apr 2013, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand Titel. Neuware - The aqueous solubility of drugs plays a key role in pharmaceutical, environmental and biological processes. It is an important factor in the ADMET (absorption, distribution, metabolism, elimination and toxicity) research. Since the experimental determination of water solubility is time-consuming therefore, reliable computational predictions are used for the pre-selection of acceptable drug like compounds. The Partial Least Squares (PLS) regression is a statistical method that bears some relation to principal components regression. PLS finds a linear regression model by projecting the predicted variables and the observable variables to a new space. In the present study, PLS regression is employed to model quantitative structure-property relationship (QSPR) for the aqueous solubility of 24 drug like molecules, N-arylhydroxamic acids by applying 15 physico-chemical properties as molecular descriptors. The prediction results are acceptable. 68 pp. Englisch.
This item is printed on demand - Print on Demand Titel. Neuware - The aqueous solubility of drugs plays a key role in pharmaceutical, environmental and biological processes. It is an important factor in the ADMET (absorption, distribution, metabolism, elimination and toxicity) research. Since the experimental determination of water solubility is time-consuming therefore, reliable computational predictions are used for the pre-selection of acceptable drug like compounds. The Partial Least Squares (PLS) regression is a statistical method that bears some relation to principal components regression. PLS finds a linear regression model by projecting the predicted variables and the observable variables to a new space. In the present study, PLS regression is employed to model quantitative structure-property relationship (QSPR) for the aqueous solubility of 24 drug like molecules, N-arylhydroxamic acids by applying 15 physico-chemical properties as molecular descriptors. The prediction results are acceptable. 68 pp. Englisch.
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Evaluation of Aqueous Solubility of Hydroxamic Acids by Pls Modelling (Paperback) (2013)
DE PB NW RP
ISBN: 9783659308345 bzw. 365930834X, in Deutsch, LAP Lambert Academic Publishing, United States, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, The Book Depository EURO [60485773], London, United Kingdom.
Language: English Brand New Book ***** Print on Demand *****.The aqueous solubility of drugs plays a key role in pharmaceutical, environmental and biological processes. It is an important factor in the ADMET (absorption, distribution, metabolism, elimination and toxicity) research. Since the experimental determination of water solubility is time-consuming therefore, reliable computational predictions are used for the pre-selection of acceptable drug like compounds. The Partial Least Squares (PLS) regression is a statistical method that bears some relation to principal components regression. PLS finds a linear regression model by projecting the predicted variables and the observable variables to a new space. In the present study, PLS regression is employed to model quantitative structure-property relationship (QSPR) for the aqueous solubility of 24 drug like molecules, N-arylhydroxamic acids by applying 15 physico-chemical properties as molecular descriptors. The prediction results are acceptable.
Language: English Brand New Book ***** Print on Demand *****.The aqueous solubility of drugs plays a key role in pharmaceutical, environmental and biological processes. It is an important factor in the ADMET (absorption, distribution, metabolism, elimination and toxicity) research. Since the experimental determination of water solubility is time-consuming therefore, reliable computational predictions are used for the pre-selection of acceptable drug like compounds. The Partial Least Squares (PLS) regression is a statistical method that bears some relation to principal components regression. PLS finds a linear regression model by projecting the predicted variables and the observable variables to a new space. In the present study, PLS regression is employed to model quantitative structure-property relationship (QSPR) for the aqueous solubility of 24 drug like molecules, N-arylhydroxamic acids by applying 15 physico-chemical properties as molecular descriptors. The prediction results are acceptable.
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Evaluation of Aqueous Solubility of Hydroxamic Acids by PLS Modelling (2013)
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ISBN: 9783659308345 bzw. 365930834X, in Englisch, 68 Seiten, LAP LAMBERT Academic Publishing, Taschenbuch, gebraucht.
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NEW Evaluation Of Aqueous Solubility Of. BOOK (Paperback / softback)
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ISBN: 9783659308345 bzw. 365930834X, in Deutsch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Lieferart: Free, Lieferung: Europe, Artikelstandort: USA, Versandkostenfrei.
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Von Händler/Antiquariat, grey_elk_books_au_and_uk - Grey Elk Books.
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