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Research Articles

Antibacterial Potential of Trihydroxycyclohexa-2,4-Diene-1-Carboxylic Acid: Insight from DFT, Molecular Docking, and Molecular Dynamic Simulation

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Pages 2128-2151 | Received 02 Nov 2022, Accepted 07 May 2023, Published online: 22 May 2023
 

Abstract

In this study, (z)-5-((3-(2,3-dihydroxyphenyl) acryloyl) oxy)- 1,3,4-trihydroxycyclohexa-2,4-diene-1-carboxylic acid (chlorogenic acid) was isolated and characterized using UV-Visible, 1H NMR and 13C NMR, FT-IR, along with detailed investigation using density functional theory (DFT), in-silico molecular docking, and molecular dynamics (MD) simulation. Results from DFT calculation indicates that the titled compound is very stable with energy gap of 3.7–7.8 for variable functionals, and similarly, the structural parameters show very close agreement with X-ray data for bond lengths and angles. The FT-IR spectrum results revealed stretching vibration O–H (3366 cm−1), C=O (1689 cm−1), C–H (1636, 1606, 1522, and 1442 cm−1), C–O (1192 and 1122 cm−1). The drug-likeness analyses and ADME studies showed drug-likeness ability and good oral behavior of the investigated compound as it obeys Lipinski, Ghose, Veber and Egan rules. Hepatotoxic and immunotoxic activities were indicated for the toxicity/toxicological endpoints of the studied compound. The molecular docking indicates a binding affinity of −8.30 and 9.5 kcal/mol for the titled compound, which is higher than the standard drug. From the molecular dynamic simulation results, chlorogenic-2H14 (complex B) revealed variations in RMSD values of less than 3Å, indicating that the protein structure underwent minor conformational changes throughout the simulation. Chlorogenic-protein complexes had average RGyr values of 3.704 − 4.907Å, which indicates compaction during the simulation. Therefore, it can be said that the titled compound has potential to be effective as an agent for cholera management, and the results obtained can be platform further in-vitro, vivo and clinical trials.

Acknowledgment

The center for high performance computing (CHPC) South Africa is acknowledged for providing the computational resources utilized in this work.

Author contributions

Hitler Louis: Project administration, Conceptualization, design, supervision, writing, and editing. Chioma M. Chima and Aniekan E. Owen: Results analysis, writing, editing, and manuscript first draft. Ernest C. Agwamba: Analysis, writing and manuscript final draft. and editing. Iqrar Ahmad and Harun Patel: Analysis and Discussion of molecular dynamics. Eze Ahuekwe and Wilfred Emori: Resources, analysis, writing, and editing. Innocent Benjamin, Mmefone A. Ojong, and Chioma B. Ubah: Analysis, writing and editing. Chun-Ru Cheng and Amanda-Lee E. Manicum: Resources validation, writing and editing.

Disclosure statement

All authors assert zero financial and inter-personal incompatibility of interest that could have influenced the research work or results reported in this research paper. No potential conflict of interest was reported by the author(s).

Data availability statement

All data are contained within the manuscript and manuscript supporting information document (ESI).

Additional information

Funding

This study was supported by the Talent Introduction Funds of Sichuan University of Science and Engineering [No. 2018RCL13], Key Laboratory of Green Chemistry of Sichuan Institutes of Higher Education [LZJ18202], the Key Laboratories of Fine Chemicals and Surfactants in Sichuan Provincial Universities [2019JXZ02], the Central Guidance on Local Science and Technology Development Fund of Sichuan Province [No. 2021ZYD0062].

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