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香豆素-嘧啶共药衍生物作为糖尿病抑制剂的药物设计与生物学评价:在药物研究中整合机器学习拓展多算法方法

drug design and biological evaluation of coumarin-pyrimidine co-drug derivatives as diabetic inhibitors: expanding a multi-algorithm approach with the integration of machine learning in pharmaceutical research.

作者信息

Rashid Maryam, Sarwar Warda, Parveen Shagufta, Naz Nida, Rida Fatima, Nawaz Eman, Shafiq Nusrat, Alkhalifah Dalal Hussien M, Hozzein Wael N, Mohany Mohamed, Moveed Aniqa

机构信息

Synthetic & Natural Product Discovery Lab, Department of Chemistry, Government College Women University Faisalabad 38000 Pakistan

Department of Biology, College of Science, Princess Nourah Bint Abdulrahman University P. O. Box 84428 Riyadh 11671 Saudi Arabia

出版信息

RSC Adv. 2025 Jul 11;15(30):24270-24288. doi: 10.1039/d5ra01835h. eCollection 2025 Jul 10.

Abstract

Optimization of hit compounds was carried out using the density functional theory. We introduce the coumarin-based co-drug by linkages (amide and oxime) of coumarins with pyrimidines to improve the pharmacokinetic activity of coumarin owing to the synergic effect of both collectively. Pharmacokinetic studies, including drug likeness, were performed using SWISSADMET, and toxicity was identified using a web-based server. Screened lead molecule W (C) was synthesized and characterized by NMR spectroscopy, and its anti-diabetic activity was evaluated by α-amylase inhibition. This study identified W as an active, new and more effective candidate for diabetes in drug discovery.

摘要

利用密度泛函理论对活性化合物进行了优化。我们通过香豆素与嘧啶的连接(酰胺和肟)引入基于香豆素的共药物,以由于两者的协同作用来提高香豆素的药代动力学活性。使用SWISSADMET进行了包括药物相似性在内的药代动力学研究,并使用基于网络的服务器鉴定了毒性。对筛选出的先导分子W(C)进行了合成,并通过核磁共振光谱进行了表征,其抗糖尿病活性通过α-淀粉酶抑制作用进行了评估。本研究确定W是药物发现中治疗糖尿病的一种活性、新型且更有效的候选物。

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