Sugar mimics and their probable binding sites: design and synthesis of thiazole linked coumarin-piperazine hybrids as galectin-1 inhibitors†

IF 3.9 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
RSC Advances Pub Date : 2024-11-18 DOI:10.1039/D4RA06715K
Aaftaab Sethi, Janish Kumar, Divya Vemula, Divya Gadde, Venu Talla, Insaf A. Qureshi and Mallika Alvala
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Abstract

Sugar mimics are valuable tools in medicinal chemistry, offering the potential to overcome the limitations of carbohydrate inhibitors, such as poor pharmacokinetics and non-selectivity. In our continued efforts to develop heterocyclic galectin-1 inhibitors, we report the synthesis and characterization of thiazole-linked coumarin piperazine hybrids (10a–10i) as Gal-1 inhibitors. The compounds were characterized using 1H NMR, 13C NMR and HRMS. Among the synthesized molecules, four compounds demonstrated significant inhibitory activity, with more than 50% inhibition observed at a concentration of 20 μM in a Gal-1 enzyme assay. Fluorescence spectroscopy was further utilized to elucidate the binding constant for the synthesized compounds. 10g exhibited the highest affinity for Gal-1, with a binding constant (Ka) of 9.8 × 104 M−1. To elucidate the mode of binding, we performed extensive computational analyses with 10g, including 1.2 μs all-atom molecular dynamics simulations coupled with a robust machine learning tool. Our findings indicate that 10g binds to the carbohydrate binding site of Gal-1, with the coumarin moiety playing a key role in binding interactions. Additionally, our study underscores the limitations of relying solely on docking scores for conformational selection and highlights the critical importance of performing multiple MD replicas to gain accurate insights.

Abstract Image

糖模拟物及其可能的结合位点:作为 galectin-1 抑制剂的噻唑香豆素-哌嗪杂化物的设计与合成†。
糖模拟物是药物化学中的重要工具,有可能克服碳水化合物抑制剂的局限性,例如药代动力学差和非选择性。为了继续开发杂环 galectin-1 抑制剂,我们报告了噻唑连接香豆素哌嗪杂化物(10a-10i)作为 Gal-1 抑制剂的合成和表征。我们使用 1H NMR、13C NMR 和 HRMS 对这些化合物进行了表征。在合成的分子中,有四个化合物具有显著的抑制活性,在 Gal-1 酶测定中,浓度为 20 μM 时抑制率超过 50%。荧光光谱法进一步阐明了合成化合物的结合常数。10g 与 Gal-1 的亲和力最高,结合常数(Ka)为 9.8 × 104 M-1。为了阐明结合模式,我们对 10g 进行了广泛的计算分析,包括 1.2 μs 全原子分子动力学模拟,并结合了强大的机器学习工具。我们的研究结果表明,10g 与 Gal-1 的碳水化合物结合位点结合,其中香豆素分子在结合相互作用中起着关键作用。此外,我们的研究还强调了仅仅依靠对接得分进行构象选择的局限性,并突出了进行多次 MD 复制以获得准确见解的重要性。
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来源期刊
RSC Advances
RSC Advances chemical sciences-
CiteScore
7.50
自引率
2.60%
发文量
3116
审稿时长
1.6 months
期刊介绍: An international, peer-reviewed journal covering all of the chemical sciences, including multidisciplinary and emerging areas. RSC Advances is a gold open access journal allowing researchers free access to research articles, and offering an affordable open access publishing option for authors around the world.
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