Green One-Pot Synthesis of Thiazole Scaffolds Catalyzed by Reusable NiFe2O4 Nanoparticles: In Silico Binding Affinity and In Vitro Anticancer Activity Studies

可重复使用的 NiFe2O4 纳米粒子催化噻唑支架的绿色一锅合成:硅基结合亲和力和体外抗癌活性研究

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作者:Satish Gudala, Archi Sharma, Aruna Lankada, Ruotong Liu, Anubhuti Jha, Santhosh Penta, Owias Iqbal Dar, Jianxin Yang

Abstract

A facile, green, one-pot multicomponent synthesis strategy was employed to fabricate novel thiazole scaffolds incorporating phthalazine, pyridazine, and pyrido-pyridazine derivatives (4a-4o). This synthetic route entailed the reaction of an α-halo carbonyl compound (1) with thiosemicarbazide (2) and various anhydrides (3a-3o), utilizing NiFe2O4 nanoparticles as a reusable catalyst in an ethanol:water (1:1) solvent system. The cytotoxicity of the synthesized compounds was meticulously assessed against three cancer cell lines, A375, HeLa, and MCF-7, employing IC50 values (μM) as the benchmark, and compared to the reference drug erlotinib. Compound 4n displayed remarkable efficacy against A375 (0.87 ± 0.31 μM), HeLa (1.38 ± 1.24 μM), and MCF-7 (1.13 ± 0.96 μM) cell lines, significantly surpassing erlotinib's IC50 values. Additionally, compounds 4k, 4l, 4m, and 4o demonstrated notable cytotoxicity across all tested cell lines, indicating their potential as effective anticancer agents. In silico docking studies against Hsp82 and Hsp90 proteins indicated that ligands 4k, 4m, 4c, 4j, 4o, and 4l had superior binding affinities compared to erlotinib. ADME analysis showed that compounds 4n, 4j, 4l, 4m, and 4o had favorable pharmacokinetic profiles, including nontoxicity, high human intestinal absorption, and low CYP inhibitory promiscuity. Structure-activity relationship analysis revealed that cyano and benzylidene substitutions significantly enhanced anticancer activity. Overall, the synthesized compounds, particularly 4n, demonstrated high efficacy, favorable binding interactions, and promising pharmacokinetic profiles, making them strong candidates for further development as anticancer agents.

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