𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Prediction of contact angle for pharmaceutical solids from their molecular structure

✍ Scribed by Eero Suihko; Robert T. Forbes; Ossi Korhonen; Jarkko Ketolainen; Petteri Paronen; Jukka Gynther; Antti Poso


Publisher
John Wiley and Sons
Year
2005
Tongue
English
Weight
243 KB
Volume
94
Category
Article
ISSN
0022-3549

No coin nor oath required. For personal study only.

✦ Synopsis


Three methods for modeling and predicting water contact angle for a heterogeneous series of pharmaceuticals using computed molecular descriptors and statistical analysis were developed. A number of theoretical molecular descriptors that were related to the structure and physicochemical properties were computed for compounds (n ΒΌ 34) whose experimental water contact angle was known. Thereafter, the descriptors were subjected to partial least squares projections to latent structures analysis. Three multivariate models were derived that allowed theoretical prediction of water contact angle for structurally heterogeneous materials. The R 2 and Q 2 values of the models ranged from 0.57 to 0.80 and 0.42 to 0.66, respectively. The models had moderate predictive ability and provided useful information about the molecular and physicochemical properties that affect material water contact angle. Increases in the bulkiness and hydrophobic molecular surface area of a molecule increased material water contact angle, whereas the greater presence of hydrophilic surfaces, which are not capable for hydrogen bonding, decrease materials water contact angle. Water contact angle can be predicted well for pharmaceutical solids using theoretical molecular descriptors that reflect the interaction potential of crystal/particle surfaces with water.


πŸ“œ SIMILAR VOLUMES


Prediction of immobilized artificial mem
✍ Mohammad Hossein Fatemi; Hoda Shamseddin πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 393 KB

## Abstract In this work multiple linear regression (MLR) was carried out for the prediction of immobilized artificial membrane (IAM) retention factors of 40 basic and neutral drugs in two mobile phase compositions. We developed some MLR models by using linear free energy relationships (LFER) param

ChemInform Abstract: Quantitative Struct
✍ Heidi Engelhardt McClelland; Peter C. Jurs πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons βš– 25 KB πŸ‘ 1 views

## Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a β€œFull Text” option. The original article is trackable v