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A prediction model for blood–brain barrier permeation and analysis on its parameter biologically

✍ Scribed by Yan Chen; Qing-Jun Zhu; Jian Pan; Yi Yang; Xiao-Pei Wu


Book ID
113546622
Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
527 KB
Volume
95
Category
Article
ISSN
0169-2607

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## Abstract A QSAR model for predicting the blood brain barrier permeability (BBBP) in a large and heterogeneous variety of compounds (136 compounds) has been developed using approximate similarity (AS) matrices as predictors and PLS as multivariate regression technique. AS values fuse information