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Frau, J., Hernández-Haro, N. and Glossman-Mitnik, D. (2017) Computational Prediction of the pKas of Small Peptides through Conceptual DFT Descriptors. Chemical Physics Letters, 671, 138-141.
https://doi.org/10.1016/j.cplett.2017.01.038

has been cited by the following article:

• TITLE: Conceptual Density Functional Theory Study of the Chemical Reactivity Properties and Bioactivity Scores of the Leu-Enkephalin Opioid Peptide Neurotransmitter

  AUTHORS: Juan Frau, Norma Flores-Holguín, Daniel Glossman-Mitnik

  KEYWORDS: Leu-Enkephalin, Opioid Neurotransmitters, Computational Chemistry, Conceptual DFT, Bioactivity Scores

  JOURNAL NAME: Computational Molecular Bioscience, Vol.9 No.1, March 18, 2019

  ABSTRACT: The SMD solvation model (Solvation Model based on the Density) and eight density functionals, CAM-B3LYP, LC-ωPBE, M11, MN12SX, N12SX, ωB97, ωB97X, and ωB97XD, were assessed in link with the Def2TZVP basis set for the calculation of the structure of the Leu-Enkephalin Opioid Peptide Neurotransmitter as well as their molecular properties. Through the Conceptual Density Functional Theory (CDFT), the entire chemical descriptors for the system were calculated. The active regions of the molecules necessary for electrophilic, nucleophilic and radical attacks were chosen through linking them with the corresponding Fukui functions. Furthermore, the prediction of the pKa value for the peptide is done with great accuracy as well as the ability of the studied molecule in acting as an efficient inhibitor of the formation of Advanced Glycation Endproducts (AGEs), which comprises of a useful knowledge for the development of drugs for preventing Alzheimer, Diabetes and Parkinson diseases. Lastly, the bioactivity scores for the studied peptides are predicted via various methodologies.