Evaluation of Aqueous Solubility of Hydroxamic Acids by Pls Modelling (Paperback)

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.

General

Imprint:	Lap Lambert Academic Publishing
Country of origin:	United States
Release date:	April 2013
First published:	April 2013
Authors:	Pande Rama • Patre Sandhya • Thakur Piyush Kumar
Dimensions:	229 x 152 x 4mm (L x W x T)
Format:	Paperback - Trade
Pages:	68
ISBN-13:	978-3-659-30834-5
Categories:	Books > Science & Mathematics > Chemistry > Organic chemistry > General
LSN:	3-659-30834-X
Barcode:	9783659308345

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!