Flavonoids as tyrosinase inhibitors in in silico and in vitro models: basic framework of SAR using a statistical modelling approach

Flavonoids are widely distributed in plants and constitute the most common polyphenolic phytoconstituents in the human diet. In this study, the in vitro inhibitory activity of 44 different flavonoids (1–44) against mushroom tyrosinase was studied, and an in silico study and type of inhibition for th...

Full description

Bibliographic Details
Main Authors: Katarzyna Jakimiuk, Suat Sari, Robert Milewski, Claudiu T. Supuran, Didem Şöhretoğlu, Michał Tomczyk
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Journal of Enzyme Inhibition and Medicinal Chemistry
Subjects:
Online Access:http://dx.doi.org/10.1080/14756366.2021.2014832
_version_ 1818754688903806976
author Katarzyna Jakimiuk
Suat Sari
Robert Milewski
Claudiu T. Supuran
Didem Şöhretoğlu
Michał Tomczyk
author_facet Katarzyna Jakimiuk
Suat Sari
Robert Milewski
Claudiu T. Supuran
Didem Şöhretoğlu
Michał Tomczyk
author_sort Katarzyna Jakimiuk
collection DOAJ
description Flavonoids are widely distributed in plants and constitute the most common polyphenolic phytoconstituents in the human diet. In this study, the in vitro inhibitory activity of 44 different flavonoids (1–44) against mushroom tyrosinase was studied, and an in silico study and type of inhibition for the most active compounds were evaluated too. Tyrosinase inhibitors block melanogenesis and take part in melanin production or distribution leading to pigmentation diseases. The in vitro study showed that quercetin was a competitive inhibitor (IC50=44.38 ± 0.13 µM) and achieved higher antityrosinase activity than the control inhibitor kojic acid. The in silico results highlight the importance of the flavonoid core with a hydroxyl at C7 as a strong contributor of interference with tyrosinase activity. According to the developed statistical model, the activity of molecules depends on hydroxylation at C3 and methylation at C8, C7, and C3 in the benzo-γ-pyrane ring of the flavonoids.
first_indexed 2024-12-18T05:27:14Z
format Article
id doaj.art-49f0bba030924193a71ddae437471e85
institution Directory Open Access Journal
issn 1475-6366
1475-6374
language English
last_indexed 2024-12-18T05:27:14Z
publishDate 2022-12-01
publisher Taylor & Francis Group
record_format Article
series Journal of Enzyme Inhibition and Medicinal Chemistry
spelling doaj.art-49f0bba030924193a71ddae437471e852022-12-21T21:19:30ZengTaylor & Francis GroupJournal of Enzyme Inhibition and Medicinal Chemistry1475-63661475-63742022-12-0137142743610.1080/14756366.2021.20148322014832Flavonoids as tyrosinase inhibitors in in silico and in vitro models: basic framework of SAR using a statistical modelling approachKatarzyna Jakimiuk0Suat Sari1Robert Milewski2Claudiu T. Supuran3Didem Şöhretoğlu4Michał Tomczyk5Department of Pharmacognosy, Faculty of Pharmacy with the Division of Laboratory Medicine, Medical University of BiałystokDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Hacettepe UniversityDepartment of Statistics and Medical Informatics, Faculty of Health Science, Medical University of BiałystokNeurofarba Department, Universita degli Studi di FirenzeDepartment of Pharmacognosy, Faculty of Pharmacy, Hacettepe UniversityDepartment of Pharmacognosy, Faculty of Pharmacy with the Division of Laboratory Medicine, Medical University of BiałystokFlavonoids are widely distributed in plants and constitute the most common polyphenolic phytoconstituents in the human diet. In this study, the in vitro inhibitory activity of 44 different flavonoids (1–44) against mushroom tyrosinase was studied, and an in silico study and type of inhibition for the most active compounds were evaluated too. Tyrosinase inhibitors block melanogenesis and take part in melanin production or distribution leading to pigmentation diseases. The in vitro study showed that quercetin was a competitive inhibitor (IC50=44.38 ± 0.13 µM) and achieved higher antityrosinase activity than the control inhibitor kojic acid. The in silico results highlight the importance of the flavonoid core with a hydroxyl at C7 as a strong contributor of interference with tyrosinase activity. According to the developed statistical model, the activity of molecules depends on hydroxylation at C3 and methylation at C8, C7, and C3 in the benzo-γ-pyrane ring of the flavonoids.http://dx.doi.org/10.1080/14756366.2021.2014832flavonoidmolecular dockingtyrosinasestructure-activity relationshipstatistical analysis
spellingShingle Katarzyna Jakimiuk
Suat Sari
Robert Milewski
Claudiu T. Supuran
Didem Şöhretoğlu
Michał Tomczyk
Flavonoids as tyrosinase inhibitors in in silico and in vitro models: basic framework of SAR using a statistical modelling approach
Journal of Enzyme Inhibition and Medicinal Chemistry
flavonoid
molecular docking
tyrosinase
structure-activity relationship
statistical analysis
title Flavonoids as tyrosinase inhibitors in in silico and in vitro models: basic framework of SAR using a statistical modelling approach
title_full Flavonoids as tyrosinase inhibitors in in silico and in vitro models: basic framework of SAR using a statistical modelling approach
title_fullStr Flavonoids as tyrosinase inhibitors in in silico and in vitro models: basic framework of SAR using a statistical modelling approach
title_full_unstemmed Flavonoids as tyrosinase inhibitors in in silico and in vitro models: basic framework of SAR using a statistical modelling approach
title_short Flavonoids as tyrosinase inhibitors in in silico and in vitro models: basic framework of SAR using a statistical modelling approach
title_sort flavonoids as tyrosinase inhibitors in in silico and in vitro models basic framework of sar using a statistical modelling approach
topic flavonoid
molecular docking
tyrosinase
structure-activity relationship
statistical analysis
url http://dx.doi.org/10.1080/14756366.2021.2014832
work_keys_str_mv AT katarzynajakimiuk flavonoidsastyrosinaseinhibitorsininsilicoandinvitromodelsbasicframeworkofsarusingastatisticalmodellingapproach
AT suatsari flavonoidsastyrosinaseinhibitorsininsilicoandinvitromodelsbasicframeworkofsarusingastatisticalmodellingapproach
AT robertmilewski flavonoidsastyrosinaseinhibitorsininsilicoandinvitromodelsbasicframeworkofsarusingastatisticalmodellingapproach
AT claudiutsupuran flavonoidsastyrosinaseinhibitorsininsilicoandinvitromodelsbasicframeworkofsarusingastatisticalmodellingapproach
AT didemsohretoglu flavonoidsastyrosinaseinhibitorsininsilicoandinvitromodelsbasicframeworkofsarusingastatisticalmodellingapproach
AT michałtomczyk flavonoidsastyrosinaseinhibitorsininsilicoandinvitromodelsbasicframeworkofsarusingastatisticalmodellingapproach