Virtual Screening of Selected Natural Products as Human Tyrosinase-Related Protein 1 Blockers
Keywords:
Human tyrosinase-related protein 1, skin lightening, Hydroquinone, Tropolone, SalicinAbstract
Many researchers have widely explored the need to replace the harmful compound hydroquinone in skin-lightening creams with more skin-friendly compounds that can give similar results. Some compounds from the plant kingdom have been shown to possess human tyrosinase inhibitory action with no adverse effect on the skin. In this study, the virtual screen of glabridin, kojic acid, arbutin, niacinamide, ascorbic acid, salicin, lactic acid, glutathione, azelaic acid, linoleic acid, glycolic acid, acclaimed to possess this activity as well as the synthetic compound hydroquinone, as human tyrosinase-related protein 1 inhibitor was investigated using computational methods. Site-directed docking was performed at the binding pocket on the enzyme carrying the cocrystallized ligand tropolone. The binding affinity of salicin (-6.7 kcal/mol), a-arbutin (-6.3 kcal/mol), glutathione (-6.2 kcal/mol), ascorbic acid (-5.7 kcal/mol), and niacinamide (-5.7 kcal/mol) were higher than that of the cocrystallized ligand tropolone (-5.5 kcal/mol) and the synthetic skin lightening compound hydroquinone (-4.8 kcal/mol). a-arbutin and glutathione also interacted with similar amino acids units as hydroquinone, suggesting that they followed the exact mechanism of action. These findings strongly corroborate the claim that these natural products could inhibit melanin production and may serve to replace hydroquinone in skin lightening creams.
Published
How to Cite
Issue
Section
Copyright (c) 2021 Journal of the Nigerian Society of Physical Sciences

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Similar Articles
- W. A. Yahya, Alpha decay half-lives of 171-189Hg isotopes using Modified Gamow-like model and temperature dependent proximity potential , Journal of the Nigerian Society of Physical Sciences: Volume 2, Issue 4, November 2020
- Anthony Anya Okeke, Nur Nadiah Abd Hamid, Wen Eng Ong, Muhammad Abbas, A numerical algorithm based on extended cubic B-spline functions for solving time-fractional convection-diffusion-reaction equation with variable coefficients , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 1, February 2025
- Shaymaa Mohammed Ahmed, Majid Khan Majahar Ali, Raja Aqib Shamim, Integrating robust feature selection with deep learning for ultra-high-dimensional survival analysis in renal cell carcinoma , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 4, November 2025
- C. O. Lawani, G. J. Ibeh, O. O. Ige, Eli Danladi, J. O. Emmanuel, A. J. Ukwenya, P. O. Oyedare, Corrigendum to "Numerical Simulation of Copper Indium Gallium Diselenide Solar Cells Using One Dimensional SCAPS Software [J. Nig. Soc. Phys. Sci. 3 (2021) 48–58, https://doi.org/10.46481/jnsps.2021.133]" , Journal of the Nigerian Society of Physical Sciences: Volume 3, Issue 3, August 2021
- El Mehdi Chouit, Mohamed RACHDI, Mostafa BELLAFKIH, Brahim RAOUYANE, Forecasting of the epidemiological situation: Case of COVID-19 in Morocco , Journal of the Nigerian Society of Physical Sciences: Volume 4, Issue 4, November 2022
- Sunday Olorunfunmi, Armand Bahini, Adenike Olatinwo, Theoretical Study on 10C Elastic Scattering Cross Sections Using Different Cluster Density Distributions and Different Potentials , Journal of the Nigerian Society of Physical Sciences: Volume 5, Issue 2, May 2023
- S. Adamu, O. O. Aduroja, A. S. Onanaye, M. R. Odekunle, Iterative method for the numerical solution of optimal control model for mosquito and insecticide , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 2, May 2024
- Nneka Ernestina Richard-Nnabu, Chinagolum Ituma, Henry Friday Nweke, Convolutional neural networks method for folded naira currency denominations recognition and analysis , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 4, November 2024
- George Muddu, Shefiu Olusegun Ganiyu, Adekunle Olugbenga Ejidokun, Yusuf Abass Aleshinloye, Integrated data-driven credit default prediction in Uganda using machine learning models , Journal of the Nigerian Society of Physical Sciences: Volume 8, Issue 1, February 2026
- U. S. Aliyu, I. G. Geidam, M. S. Otto, M. Hussaini, Investigations of the Elastic Moduli of Er2O3 NPs Doped TeO2 – B2O3 – SiO2 Glasses using Theoretical Models , Journal of the Nigerian Society of Physical Sciences: Volume 4, Issue 1, February 2022
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- C. E. Duru, C. E. Enyoh, I. A. Duru, M. C. Enedoh, Degradation of PET Nanoplastic Oligomers at the Novel PHL7 Target:Insights from Molecular Docking and Machine Learning , Journal of the Nigerian Society of Physical Sciences: Volume 5, Issue 1, February 2023

