Title
A General Treatment of Solubility. 3. Principal Component Analysis (PCA) of the Solubilities of Diverse Solutes in Diverse Solvents.
Abstract
A phenomenological study of solubility has been conducted using a combination of quantitative structure-property relationship (QSPR) and principal component analysis (PCA). A solubility database of 4540 experimental data points was used that utilized available experimental data into a matrix of 154 solvents times 397 solutes. Methodology in which QSPR and PCA are combined was developed to predict the missing values and to fill the data matrix. PCA on the resulting filled matrix, where solutes are observations and solvents are variables, shows 92.55% of coverage with three principal components. The corresponding transposed matrix, in which solvents are observations and solutes are variables, showed 62.96% of coverage with four principal components.
Year
DOI
Venue
2005
10.1021/ci0496189
JOURNAL OF CHEMICAL INFORMATION AND MODELING
Keywords
Field
DocType
solubility,principal component analysis
Quantitative structure–activity relationship,Thermodynamics,Matrix (mathematics),Combinatorial chemistry,Chemistry,Quantitative Structure Property Relationship,Solubility,Missing data,Chromatography,Which solvents,Principal component analysis
Journal
Volume
Issue
ISSN
45
4
1549-9596
Citations 
PageRank 
References 
5
0.62
1
Authors
6
Name
Order
Citations
PageRank
Alan R. Katritzky126648.69
Indrek Tulp260.98
Dan Fara3164.89
Antonino Lauria492.22
Uko Maran513223.67
William Acree6233.69