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The Blood-brain Barrier

The Blood-brain Barrier

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Predicting In Vivo Payloads Delivery using a Blood-brain Tumor-barrier in a Dish

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Towards Better BBB Passage Prediction Using an Extensive and Curated Data Set.

Yoan Brito-Sánchez^1,2, Yovani Marrero-Ponce^3,4,5, Stephen J Barigye^2,6

¹Vancouver Prostate Centre, University of British Columbia, Vancouver, British Columbia, V6H 3Z6, Canada.

Molecular Informatics

|August 5, 2016

Summary

This study developed computational models to predict drug passage across the blood-brain barrier (BBB). Our models achieved high accuracy, aiding neuropharmaceutical drug discovery.

Keywords:

BBB endpoint Bloodbrain barrier Dragon descriptor Linear discriminant analysis Multiple linear regression P-glycoprotein Quantitative structure pharmacokinetic (property) relationship

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Last Updated: Mar 16, 2026

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Area of Science:

Computational chemistry
Neuropharmacology
Drug discovery

Background:

Drug delivery to the central nervous system is hindered by the blood-brain barrier (BBB).
Predicting BBB penetration is crucial for developing effective neurotherapeutics.

Purpose of the Study:

To develop and validate computational models for predicting drug passage across the BBB.
To create a reliable tool for early-stage neuropharmaceutical research.

Main Methods:

Utilized a large, curated dataset for quantitative structure-activity relationship (QSAR) analysis.
Employed Linear Discriminant Analysis (LDA) for classification and Multiple Linear Regression (MLR) for correlation.
Compared linear models with advanced machine learning techniques.

Main Results:

LDA models achieved >85% accuracy on training and >83% on test sets.
MLR model explained >69% of the variance in experimental log BB values.
Computational models showed comparable or superior performance to existing methods.

Conclusions:

The developed computational models offer a reproducible tool for predicting BBB penetration.
These models can accelerate the identification of drug candidates in neuropharmaceutical projects.
The study provides insights into factors governing molecular passage through the BBB.