dc.creatorCabrera, Nicolas
dc.creatorMora, Jose R
dc.creatorMárquez, E.
dc.creatorFlores-Morales, Virginia
dc.creatorCalle, L.
dc.creatorCortés, E.
dc.date2020-12-21T19:11:21Z
dc.date2020-12-21T19:11:21Z
dc.date2020-11-26
dc.date2021-11-30
dc.date.accessioned2023-10-03T19:42:18Z
dc.date.available2023-10-03T19:42:18Z
dc.identifier1029-046X
dc.identifier1062-936X
dc.identifierhttps://hdl.handle.net/11323/7618
dc.identifierhttps://doi.org/10.1080/1062936X.2020.1848914
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9171602
dc.descriptionLeishmaniasis affects mainly rural areas and the poorest people in the world. A computational study of the antileishmanial activity of organic selenium and tellurium compounds was performed. The 3D structures of the compounds were optimized at the wb97xd/lanl2dz level and used in the quantitative structure-activity relationship (QSAR) analysis. The antileishmanial activity was measured by L. donovani β carbonic anhydrase inhibition (Ki) and the half-maximal inhibitory concentration (IC50) against L. infantum amastigotes. The dataset was divided into training (75%) and test sets (25%) by using a k-means clustering algorithm. For pKi prediction, model M3 with seven 3D topographic descriptors was characterized by the following statistical parameters: r 2 = 0.879, Q 2 LOO = 0.822, and Q 2 ext = 0.840. For pIC50 prediction, model M12 with six attributes was characterized by the following statistical parameters: r 2 = 0.907, Q 2 LOO = 0.824, and Q 2 ext = 0.795. Both models met all the requirements of Tropsha´s test, which implies predictions of pIC50 and pKi activities with high accuracy. Concomitantly, favourable interactions of the sulphonamide group with the Zn atom in the protein were revealed by the docking analysis.
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherCorporación Universidad de la Costa
dc.rightsCC0 1.0 Universal
dc.rightshttp://creativecommons.org/publicdomain/zero/1.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.sourceSAR and QSAR in Environmental Research
dc.sourcehttps://www.tandfonline.com/doi/abs/10.1080/1062936X.2020.1848914
dc.subjectLeishmaniasis
dc.subjectQSAR
dc.subjectDocking analysis
dc.subjectProtozoan parasites
dc.subjectOrganic selenium compounds
dc.titleQSAR and molecular docking modelling of anti-leishmanial activities of organic selenium and tellurium compounds
dc.typePre-Publicación
dc.typehttp://purl.org/coar/resource_type/c_816b
dc.typeText
dc.typeinfo:eu-repo/semantics/preprint
dc.typeinfo:eu-repo/semantics/draft
dc.typehttp://purl.org/redcol/resource_type/ARTOTR
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa


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