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dc.contributor.author
Luco, Juan Maria  
dc.contributor.author
Marchevsky, Eduardo Jorge  
dc.date.available
2020-03-17T21:14:49Z  
dc.date.issued
2006-03  
dc.identifier.citation
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  
dc.identifier.issn
1573-4099  
dc.identifier.uri
http://hdl.handle.net/11336/99949  
dc.description.abstract
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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Bentham Science Publishers  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
ABC-TRANSPORTERS  
dc.subject
CNS  
dc.subject
DIFFUSION  
dc.subject
ORGANIC ANION TRANSPORTERS (OATS)  
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PHARMACOKINETIC (PK) PROFILES  
dc.subject
QSAR MODELS  
dc.subject.classification
Química Analítica  
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Ciencias Químicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
QSAR studies on blood-brain barrier permeation  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-01-03T14:26:34Z  
dc.journal.volume
2  
dc.journal.number
1  
dc.journal.pagination
31-55  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Oak Park  
dc.description.fil
Fil: Luco, Juan Maria. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Laboratorio de Alimentos; Argentina  
dc.description.fil
Fil: Marchevsky, Eduardo Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Química de San Luis. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Química de San Luis; Argentina  
dc.journal.title
Current Computer-aided Drug Design  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.eurekaselect.com/55061/article  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.2174/157340906776056437