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Artículo

QSAR studies on blood-brain barrier permeation

Luco, Juan Maria; Marchevsky, Eduardo JorgeIcon
Fecha de publicación: 03/2006
Editorial: Bentham Science Publishers
Revista: Current Computer-aided Drug Design
ISSN: 1573-4099
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Química Analítica

Resumen

This review focuses on both physicochemical and theoretical QSAR methods for the prediction of drug transport across the blood-brain barrier (BBB). Special emphasis is given to the recent progress that has been made in the modeling of BBB penetration, with a particular focus on the models based on kinetic parameters of BBB permeability dataset. Physicochemical models based on partition coefficients and chromatographic capacity factors, as well as computerized parameters such as polar surface area and hydrogen-bonding descriptors are described and their success and limitations are discussed. Theoretical models based on topological or molecular orbital calculations are summarized and assessed in terms of descriptors, model type, predictive performance and interpretability. Strengths and weaknesses of the various methods are described. Related issues that are mentioned include the transporter-mediated permeation of drugs across the BBB and its implications on the stability and predictive quality of QSAR models.
Palabras clave: ABC-TRANSPORTERS , CNS , DIFFUSION , ORGANIC ANION TRANSPORTERS (OATS) , PHARMACOKINETIC (PK) PROFILES , QSAR MODELS
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/99949
URL: http://www.eurekaselect.com/55061/article
DOI: http://dx.doi.org/10.2174/157340906776056437
Colecciones
Articulos(INQUISAL)
Articulos de INST. DE QUIMICA DE SAN LUIS
Citación
Luco, Juan Maria; Marchevsky, Eduardo Jorge; QSAR studies on blood-brain barrier permeation; Bentham Science Publishers; Current Computer-aided Drug Design; 2; 1; 3-2006; 31-55
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