Identifier to cite or link to this item: http://hdl.handle.net/20.500.13003/9916
Computational Prediction of the Protonation Sites of Ac-Lys-(Ala)(n)-Lys-NH2 Peptides through Conceptual DFT Descriptors
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ISSN: 1420-3049
WOS ID: 000398743500118
Scopus EID: 2-s2.0-85015754772
PMID: 28335381
Embase PUI: L616304489
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2017-03Document type
research articleCitation
Sastre 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.Abstract
Six 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.
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https://dx.doi.org/10.3390/molecules22030458Keywords
diabetesalzheimer
peptides
MEDT
conceptual DFT
MeSH
PeptidesProtons
Molecular Structure
Computational Biology
Hydrogen Bonding
Protein Conformation
DeCS
PéptidosProtones
Conformación Proteica
Biología Computacional
Enlace de Hidrógeno
Estructura Molecular