dc.creatorQuispe, Patricia A.
dc.creatorLavecchia, Martín José
dc.creatorLeón, Ignacio Esteban
dc.date2019
dc.date2020-10-16T18:29:57Z
dc.date.accessioned2023-07-14T22:43:29Z
dc.date.available2023-07-14T22:43:29Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/107168
dc.identifierhttp://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC6699424&blobtype=pdf
dc.identifierissn:2405-8440
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7447969
dc.descriptionSurvivin protein is a metalloprotein member of the inhibitors of apoptosis proteins family, involved in the regulation of programmed cell death. Due to the recent development of antitumor therapies having survivin as molecular target, several strategies to interfere with the expression or function of survivin have emerged. This work describes the discovery of a new potential inhibitor of survivin function using a computer-aided drug design approach. Structure-based virtual screening and molecular dynamic simulations were carried out to select two compounds as possible inhibitors. According to the binding energy, possible ligand localization is in a cavity, close to dimerization interface. Next, cell-based assays were performed on three cell lines: two with tumor phenotype and over-expression of survivin, and another with normal phenotype and low expression of survivin. One of the selected compounds shows a selectively antitumor effect on panel cell lines suggesting that the compound effect could be correlated with the survivin expression.
dc.descriptionCentro de Química Inorgánica
dc.formatapplication/pdf
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.subjectQuímica
dc.subjectMolecular biology
dc.subjectComputational biology
dc.subjectBioinformatics
dc.subjectSurvivin
dc.subjectInhibitors
dc.subjectDocking studies
dc.subjectMolecular dynamics
dc.titleOn the discovery of a potential survivin inhibitor combining computational tools and cytotoxicity studies
dc.typeArticulo
dc.typeArticulo


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