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dc.date.accessioned 2021-08-27T19:05:00Z
dc.date.available 2021-08-27T19:05:00Z
dc.date.issued 2018-06
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/123689
dc.description.abstract The purpose of this investigation is to contribute to the development of new anticonvulsant drugs to treat patients with refractory epilepsy. We applied a virtual screening protocol that involved the search into molecular databases of new compounds and known drugs to find small molecules that interact with the open conformation of the Nav1.2 pore. As the 3D structure of human Nav1.2 is not available, we first assembled 3D models of the target, in closed and open conformations. After the virtual screening, the resulting candidates were submitted to a second virtual filter, to find compounds with better chances of being effective for the treatment of P-glycoprotein (P-gp) mediated resistant epilepsy. Again, we built a model of the 3D structure of human P-gp, and we validated the docking methodology selected to propose the best candidates, which were experimentally tested on Nav1.2 channels by patch clamp techniques and in vivo by the maximal electroshock seizure (MES) test. Patch clamp studies allowed us to corroborate that our candidates, drugs used for the treatment of other pathologies like Ciprofloxacin, Losartan, and Valsartan, exhibit inhibitory effects on Nav1.2 channel activity. Additionally, a compound synthesized in our lab, N,N′- diphenethylsulfamide, interacts with the target and also triggers significant Na1.2 channel inhibitory action. Finally, in vivo studies confirmed the anticonvulsant action of Valsartan, Ciprofloxacin, and N,N′-diphenethylsulfamide en
dc.format.extent 1331-1342 es
dc.language en es
dc.subject Peptides and proteins es
dc.subject Chemical structure es
dc.subject Assays es
dc.subject Conformation es
dc.subject Sodium es
dc.title Searching for New Leads To Treat Epilepsy: Target-Based Virtual Screening for the Discovery of Anticonvulsant Agents en
dc.type Articulo es
sedici.identifier.other pmid:29870230 es
sedici.identifier.other doi:10.1021/acs.jcim.7b00721 es
sedici.identifier.issn 1549-960X es
sedici.identifier.issn 1549-9596 es
sedici.creator.person Palestro, Pablo Hernán es
sedici.creator.person Enrique, Nicolás Jorge es
sedici.creator.person Goicoechea, Sofía es
sedici.creator.person Villalba, María Luisa es
sedici.creator.person Sabatier, Laureano Leonel es
sedici.creator.person Martín, Pedro es
sedici.creator.person Milesi, María Verónica es
sedici.creator.person Bruno Blanch, Luis Enrique es
sedici.creator.person Gavernet, Luciana es
sedici.subject.materias Química es
sedici.subject.materias Biología es
sedici.description.fulltext true es
mods.originInfo.place Instituto de Estudios Inmunológicos y Fisiopatológicos 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 Journal of Chemical Information and Modeling es
sedici.relation.journalVolumeAndIssue vol. 58, no. 7 es


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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)