Integrating Computational Modeling and Experimental Validation to Unveil Tyrosinase Inhibition Mechanisms of Flavonoids from Alhagi graecorum Article Swipe
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· 2024
· Open Access
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· DOI: https://doi.org/10.1021/acsomega.4c07624
Flavonoids, natural compounds ubiquitous in the human diet, are esteemed for their multifaceted pharmacological properties. The tyrosinase inhibitory capacity of five flavonoids from Alhagi graecorum was investigated through a comprehensive integration of in vitro and in silico methodologies. Molecular docking simulations demonstrated the proficient binding of the isolated compounds to the principal binding site of tyrosinase, akin to the standard tyrosinase inhibitor kojic acid. These compounds exhibited analogous binding affinities, among which compound 5 manifested notably heightened levels of polar bonds and hydrophobic interactions. Molecular dynamics (MD) simulations were utilized to explore the interaction dynamics between the isolated flavonoids and tyrosinase. The analysis of various MD parameters revealed consistent trajectories for the tested compounds, with compound 5 demonstrating notable energy equilibration. Strong hydrogen bonding interactions were observed between the flavonoids and the tyrosinase active site. The results of interaction energy calculations showed a balanced interaction mediated by hydrophobic interactions, with compound 5 exhibiting the lowest interaction energies. Additionally, the findings from MM/PBSA analysis demonstrated the lowest binding free energy for compound 5. Moreover, the in vitro tyrosinase inhibition assay revealed notable discrepancies among the studied flavonoids. Particularly, compound 5 demonstrated the most pronounced anti-tyrosinase activity, as evidenced by its lowest IC50 value. This experimental outcome is consistent with the results of computational predictions. Therefore, flavonoids of A. graecorum might be valuable for the development of tyrosinase inhibitors.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1021/acsomega.4c07624
- https://pubs.acs.org/doi/pdf/10.1021/acsomega.4c07624?ref=article_openPDF
- OA Status
- gold
- Cited By
- 15
- References
- 55
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4404334501
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4404334501Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1021/acsomega.4c07624Digital Object Identifier
- Title
-
Integrating Computational Modeling and Experimental Validation to Unveil Tyrosinase Inhibition Mechanisms of Flavonoids from Alhagi graecorumWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-11-13Full publication date if available
- Authors
-
Reem S. Alruhaimi, Ayman M. Mahmoud, Sulaiman Mohammed Alnasser, Mohammed Alotaibi, Ibrahim Elbagory, Ashraf A. El‐Bassuony, Al Mokhtar Lamsabhi, Emadeldin M. KamelList of authors in order
- Landing page
-
https://doi.org/10.1021/acsomega.4c07624Publisher landing page
- PDF URL
-
https://pubs.acs.org/doi/pdf/10.1021/acsomega.4c07624?ref=article_openPDFDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://pubs.acs.org/doi/pdf/10.1021/acsomega.4c07624?ref=article_openPDFDirect OA link when available
- Concepts
-
Tyrosinase, Kojic acid, Chemistry, Docking (animal), Molecular dynamics, Hydrogen bond, Stereochemistry, In silico, IC50, Active site, Hydrophobic effect, Lead compound, Binding site, Computational chemistry, In vitro, Biochemistry, Combinatorial chemistry, Enzyme, Organic chemistry, Molecule, Medicine, Gene, NursingTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
15Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 15Per-year citation counts (last 5 years)
- References (count)
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55Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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