4.7 Article

DFT computational study towards investigating psychotropic drugs, promazine and trifluoperazine adsorption on graphene, fullerene and carbon cyclic ring nanoclusters

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.saa.2020.119012

关键词

DFT; Promazine; Trifluoperazine; SERS; Docking

资金

  1. Deanship of Scientific Research at Princess Nourah bint Abdulrahman University through the Fast-track Research Funding Program

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This study focuses on the detection and qualification of impurities in pharmacological drug development, with a particular emphasis on the structural and spectral characterization of phenothiazine derivatives. The investigation into the adsorption behavior and electronic properties of these compounds, as well as the docking analysis, suggests their potential as drug agents. The theoretical results obtained in this study are in good agreement with experimental data.
Detection and qualification process related to impurities assume importance in pharmacological drug develop-ment programmes and the present article gives the structural and spectral characterisation of phenothiazine derivatives, promazine (PME) and trifluoperazine (TPE) and their self-assembly with graphene/fullerene/carbon ring (CG/CF/CR) systems theoretically. The investigation of adsorption behaviour of these compounds can provide valuable information about its reactivity, electronic and structural properties. Three-dimensional electrostatic potential diagrams were mapped. The frontier orbital energies and energy band gaps of the molecules were computed. Delocalization of charge density between the bonding or lone pair and antibonding orbitals is calculated by NBO analysis. Docking was executed to investigate binding areas of chemical compounds. Bioactivity scores show that the pharmacokinetic and pharmacological properties of the ligands are appropriate leading to be considered potential drug agents. The obtained theoretical wavenumber results of the present study were fully compatible with the experimental results. (c) 2020 Elsevier B.V. All rights reserved.

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