Synthesis and biological evaluation of substituted aurone derivatives as potential tyrosinase inhibitors: in vitro, kinetic, QSAR, docking and drug-likeness studies

酪氨酸酶 曲酸 化学 对接(动物) 立体化学 数量结构-活动关系 蛋白质数据库 IC50型 活动站点 背景(考古学) 组合化学 生物化学 体外 生物 古生物学 护理部 医学
作者
Najla A. Alshaye,Ehsan Ullah Mughal,Eslam B. Elkaeed,Zaman Ashraf,Sana Kehili,Yasir Nazir,Nafeesa Naeem,Nida Abdul Majeed,Amina Sadiq
出处
期刊:Journal of Biomolecular Structure & Dynamics [Taylor & Francis]
卷期号:41 (17): 8307-8322 被引量:19
标识
DOI:10.1080/07391102.2022.2132296
摘要

Tyrosinase enzyme plays an essential role in melanin biosynthesis and enzymatic browning of fruits and vegetables. To discover potent tyrosinase inhibitors, the present studies were undertaken. In this context, synthetic aurone derivatives 26–50 were designed, synthesized, and structurally elucidated by various spectroscopic techniques including IR, UV, 1H- & 13C-NMR and mass spectrometry. The target compounds 26–50 were screened for their anti-tyrosinase inhibitory potential, and thus kinetic mechanism was analyzed by Lineweaver-Burk plots. All target compounds exhibited good to excellent IC50 values in the range of 7.12 ± 0.32 μM to 66.82 ± 2.44 μM. These synthesized aurone derivatives were found as potent tyrosinase inhibitors relative to the standard kojic acid (IC50 = 16.69 ± 2.81 μM) and the compound 39 inhibited tyrosinase non-competitively (Ki = 11.8 μM) by forming an enzyme-inhibitor complex. The binding modes of these molecules were ascribed through molecular docking studies against tyrosinase protein (PDB ID: 2Y9X). The quantitative structure-activity relationship studies displayed a good correlation between 26–50 structures and their anti-tyrosinase activity (IC50) with a correlation coefficient (R2) of 0.9926. The computational studies were coherent with experimental results and these ligands exhibited good binding values against tyrosinase and interacted with core residues of target protein. Moreover, the drug-likeness analysis also showed that some compounds have a linear correlation with Lipinski's rule of five, indicating good drug-likeness and bioactivity scores for pharmacological targets. Communicated by Ramaswamy H. Sarma
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