Publication:
Computational Prediction of the Protonation Sites of Ac-Lys-(Ala)(n)-Lys-NH2 Peptides through Conceptual DFT Descriptors

dc.contributor.authorSastre, Sebastian
dc.contributor.authorFrau, Juan
dc.contributor.authorGlossman-Mitnik, Daniel
dc.date.accessioned2024-07-11T09:07:41Z
dc.date.available2024-07-11T09:07:41Z
dc.date.issued2017-03
dc.description.abstractSix density functionals (M11, M11L, MN12L, MN12SX, N12, and N12SX) in connection with the Def2TZVP basis set and the SMD solvation model (water as a solvent) have been assessed for the calculation of the molecular structure and properties of several peptides with the general formula Ac-Lys-(Ala)(n)-Lys-NH2, with n = 0 to 5. The chemical reactivity descriptors for these systems have been calculated through Conceptual density functional theory (DFT). The active sites for nucleophilic and electrophilic attacks have been chosen by relating them to the Fukui function indices, the condensed dual descriptor Delta f (r), and the electrophilic Parr functions. The results allowed the prediction of the protonation sites of the peptides and rendered a qualitative explanation of the difference in pK(a) of the two Lys groups.en
dc.description.sponsorshipThis work has been partially supported by CIMAV, SC and Consejo Nacional de Ciencia y Tecnologia (CONACYT, Mexico) through Grant 219566/2014 for Basic Science Research and Grant 265217/2016 for a Foreign Sabbatical Leave. Daniel Glossman-Mitnik conducted this work while a Sabbatical Fellow at the University of the Balearic Islands from which support is gratefully acknowledged. This work was cofunded by the Ministerio de Economia y Competitividad (MINECO) and the European Fund for Regional Development (FEDER) (CTQ2014-55835-R).es_ES
dc.format.number3es_ES
dc.format.page458es_ES
dc.format.volume22es_ES
dc.identifier.citationSastre S, Frau J, Glossman-Mitnik D. Computational Prediction of the Protonation Sites of Ac-Lys-(Ala)(n)-Lys-NH2 Peptides through Conceptual DFT Descriptors. Molecules. 2017 Mar;22(3):458.en
dc.identifier.doi10.3390/molecules22030458
dc.identifier.issn1420-3049
dc.identifier.journalMoleculeses_ES
dc.identifier.otherhttp://hdl.handle.net/20.500.13003/9916
dc.identifier.pubmedID28335381es_ES
dc.identifier.puiL616304489
dc.identifier.scopus2-s2.0-85015754772
dc.identifier.urihttp://hdl.handle.net/20.500.12105/20414
dc.identifier.wos398743500118
dc.language.isoengen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relation.publisherversionhttps://dx.doi.org/10.3390/molecules22030458en
dc.rights.accessRightsopen accessen
dc.rights.licenseAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectDiabetes
dc.subjectAlzheimer
dc.subjectPeptides
dc.subjectMEDT
dc.subjectConceptual DFT
dc.subject.decsPéptidos*
dc.subject.decsProtones*
dc.subject.decsConformación Proteica*
dc.subject.decsBiología Computacional*
dc.subject.decsEnlace de Hidrógeno*
dc.subject.decsEstructura Molecular*
dc.subject.meshPeptides*
dc.subject.meshProtons*
dc.subject.meshMolecular Structure*
dc.subject.meshComputational Biology*
dc.subject.meshHydrogen Bonding*
dc.subject.meshProtein Conformation*
dc.titleComputational Prediction of the Protonation Sites of Ac-Lys-(Ala)(n)-Lys-NH2 Peptides through Conceptual DFT Descriptorsen
dc.typeresearch articleen
dspace.entity.typePublication
relation.isPublisherOfPublication30293a55-0e53-431f-ae8c-14ab01127be9
relation.isPublisherOfPublication.latestForDiscovery30293a55-0e53-431f-ae8c-14ab01127be9

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