TOPS-MODE approach for the prediction of blood-brain barrier permeation.

Abstract:

:The blood-brain barrier permeation has been investigated by using a topological substructural molecular design approach (TOPS-MODE). A linear regression model was developed to predict the in vivo blood-brain partitioning coefficient on a data set of 119 compounds, treated as the logarithm of the blood-brain concentration ratio. The final model explained the 70% of the variance and it was validated through the use of an external validation set (33 compounds of the 119, MAE = 0.33), a leave-one-out crossvalidation (q(2) = 0.65, S(press) = 0.43), fivefold full crossvalidation (removing 28 compounds in each cycle, MAE = 33, RMSE = 0.43) and the prediction of +/- values for an external test set (85.7% of good prediction). This methodology evidenced that the hydrophobicity increase the blood-brain barrier permeation, while the polar surface and its interaction with the atomic mass of compounds decrease it; suggesting the capacity of the TOPS-MODE descriptors to estimate brain penetration potential of new drug candidates. Finally, by the present approach, positive and negative substructural contributions to the brain permeation were identified, and their possibilities in the lead generation and optimization processes were evaluated.

journal_name

J Pharm Sci

authors

Cabrera MA,Bermejo M,Pérez M,Ramos R

doi

10.1002/jps.20081

subject

Has Abstract

pub_date

2004-07-01 00:00:00

pages

1701-17

issue

7

eissn

0022-3549

issn

1520-6017

pii

S0022-3549(16)31544-1

journal_volume

93

pub_type

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