Subir material

Suba sus trabajos a SEDICI, para mejorar notoriamente su visibilidad e impacto

 

Mostrar el registro sencillo del ítem

dc.date.accessioned 2019-11-07T17:18:31Z
dc.date.available 2019-11-07T17:18:31Z
dc.date.issued 2014
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/85173
dc.description.abstract P-glycoprotein (P-gp) is involved in the transport of xenobiotic compounds and responsible for the decrease of the drug accumulation in multi-drug-resistant cells. In this investigation we compare several docking algorithms in order to find the conditions that are able to discriminate between P-gp binders and nonbinders. We built a comprehensive dataset of binders and nonbinders based on a careful analysis of the experimental data available in the literature, trying to overcome the discrepancy noticeable in the experimental results. We found that Autodock Vina flexible docking is the best choice for the tested options. The results will be useful to filter virtual screening results in the rational design of new drugs that are not expected to be expelled by P-gp. en
dc.language en es
dc.subject P-Glycoprotein es
dc.subject ATP-Binding Cassette Transporters es
dc.subject Nucleotide binding es
dc.title Docking applied to the prediction of the affinity of compounds to p-glycoprotein en
dc.type Articulo es
sedici.identifier.other doi:10.1155/2014/358425 es
sedici.identifier.other eid:2-s2.0-84902144370 es
sedici.identifier.issn 2314-6133 es
sedici.creator.person Palestro, Pablo Hernán es
sedici.creator.person Gavernet, Luciana es
sedici.creator.person Estiú, Guillermina es
sedici.creator.person Bruno Blanch, Luis Enrique es
sedici.subject.materias Química es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ciencias Exactas es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle BioMed Research International es
sedici.relation.journalVolumeAndIssue vol. 2014 es
sedici.rights.sherpa * Color: green * Pre-print del autor: si * Post-print del autor: si * Versión de editor/PDF:si * Condiciones: >>On any website >>Publisher's version/PDF may be used >>Creative Commons Attribution License >>All titles are open access journals * Link a Sherpa: http://sherpa.ac.uk/romeo/issn/2314-6133/es/


Descargar archivos

Este ítem aparece en la(s) siguiente(s) colección(ones)

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)