Startseite In silico DFT and molecular modeling of novel pyrazine-bearing thiazolidinone hybrids derivatives: elucidating in vitro anti-cancer and urease inhibitors
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In silico DFT and molecular modeling of novel pyrazine-bearing thiazolidinone hybrids derivatives: elucidating in vitro anti-cancer and urease inhibitors

  • Shoaib Khan ORCID logo , Rafaqat Hussain EMAIL logo , Yousaf Khan ORCID logo , Tayyiaba Iqbal , Saeed Anwar EMAIL logo , Tariq Aziz ORCID logo und Metab Alharbi
Veröffentlicht/Copyright: 1. Oktober 2024
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Abstract

In the present work, one of the leading health issues i.e. cancer was targeted by synthesizing and biologically investigating the potential of pyrazine-based thiazolidinone derivatives (1–13). The basic structure of the synthesized compounds was determined using a variety of spectroscopic techniques, including 1H NMR, 13C NMR, and HREI-MS. These scaffolds were studied for their biological profiles as anti-cancer as well as anti-urease agents. The biological effectiveness of these compounds was compared using the reference tetrandrine (IC50 = 4.50 ± 0.20 µM) and thiourea (IC50 = 5.10 ± 0.10 µM), respectively. Among novel compounds, scaffold 3, 6, 7 and 10 demonstrated an excellent potency with highest inhibitory potential (IC50 = 1.70 ± 0.10 and 1.30 ± 0.20 µM), (IC50 = 4.20 ± 0.10 and 5.10 ± 0.30 µM), (IC50 = 2.10 ± 0.10 and 3.20 ± 0.20 µM) and (IC50 = 2.70 ± 0.20 and 4.20 ± 0.20 µM), respectively, out of which scaffold 3 emerged as the leading compound due to the presence of highly reactive –CF3 moiety which interacts via hydrogen bonding. Molecular docking investigations of the potent compounds was also carried out which revealed the binding interactions of ligands with the active sites of enzyme. Moreover, the electronic properties, nucleophilic and electrophilic sited of the lead compounds were also studied under density functional theory (DFT).


Corresponding author: Rafaqat Hussain, Department of Chemistry, Hazara University, Mansehra, 21120, Pakistan, E-mail: ; and Saeed Anwar, Department of Chemistry, Abbottabad University of Science and Technology (AUST), Abbottabad, 22500, Pakistan, E-mail:

Acknowledgments

The authors greatly acknowledge and express their gratitude to the Researchers Supporting Project number (RSP2024R462), King Saud University Riyadh Saudi Arabia.

  1. Research ethics: The conducted research is not related to either human or animal use.

  2. Informed consent: Not applicable.

  3. Author contributions: Shoaib Khan: writing – original draft. Rafaqat Hussain: writing – review and editing. Yousaf Khan: methodology and investigation. Tayyiaba Iqbal: visualization and software. Saeed Anwar: characterization. Tariq Aziz & Metab Alharbi: writing – review and editing.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors declare no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/znc-2024-0103).


Received: 2024-04-23
Accepted: 2024-09-05
Published Online: 2024-10-01
Published in Print: 2025-05-26

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