Molecular Docking, Pharmacophore Modeling, and ADMET Prediction of Novel Heterocyclic Leads as Glucokinase Activators.

Anuradha Mehra, Amit Mittal, Shivangi Singh
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Abstract

Background: A pivotal impetus has driven the development of numerous small molecules aiming to improve therapeutic strategies for type 2 diabetes. Glucokinase (GK) activation has been offered a new realm of therapeutic antidiabetic activity with novel heter-ocyclic derivatives. In the context of antidiabetic drug design, GK is an interesting and newly validated target. A key enzyme needed for blood glucose homeostasis is Glucokinase, which is dysfunctional in individuals with type 2 diabetes. Heterocyclic derivatives are utilized in this innovative approach to activate GK enzymes as medicinal agents that will significantly improve type 2 diabetes management.

Objective: To address type 2 diabetes, as well as minimize unwanted side effects, this research endeavor aimed to develop activators of glucokinase.

Methods: A rigorous scrutiny was conducted of the Maybridge online repository, which houses a formidable collection of 53,000 lead compounds. A collection of 125 compounds that contain the thiazolidinedione core was selected from this extensive collection. The struc-tures were generated using ChemDraw 2D, stabilized conformation with ChemBioDraw Ul-tra, and docked using Auto Dock Vina 1.5.6 in this methodology. In addition, log P was pre-dicted online using the Swiss ADME algorithm. The PKCSM software was used to predict the toxicity of the leading compounds.

Results: The highest binding affinity was found for AS72 and AS108 to GK receptors. GI absorption and excretion of these compounds were efficient due to Lipinski's Rule of Five compliance. When compared with the standard drugs Dorzagliatin (GKA) and MRK (co-crys-tallized ligand), these substances demonstrated a notable lack of AMES toxicity, skin sensiti-zation, and hepatotoxicity.

Conclusion: In recent studies, lead molecules that possess enhanced pharmacokinetic profiles, increased binding affinity, and lower toxicity were developed to act as glucokinase activators.

作为葡萄糖激酶激活剂的新型杂环先导化合物的分子对接、药理模型和 ADMET 预测。
背景:为改善 2 型糖尿病的治疗策略,许多小分子药物的开发得到了关键性的推动。新型杂环衍生物为葡萄糖激酶(GK)的激活提供了一个新的抗糖尿病治疗领域。在抗糖尿病药物设计方面,GK 是一个有趣的新验证靶点。血糖平衡所需的一种关键酶是葡萄糖激酶,2 型糖尿病患者体内的葡萄糖激酶功能失调。在这种创新方法中,杂环衍生物被用来激活 GK 酶作为药剂,这将大大改善 2 型糖尿病的治疗:为了解决 2 型糖尿病问题,同时尽量减少不必要的副作用,这项研究工作旨在开发葡萄糖激酶的激活剂:方法:我们对 Maybridge 在线资源库进行了严格审查,该资源库拥有 53,000 个先导化合物。我们从这个庞大的化合物库中挑选了 125 个含有噻唑烷二酮核心的化合物。使用 ChemDraw 2D 生成结构图,使用 ChemBioDraw Ul-tra 稳定构象,并在此方法中使用 Auto Dock Vina 1.5.6 进行对接。此外,还使用瑞士 ADME 算法在线预测了对数 P。PKCSM 软件用于预测主要化合物的毒性:AS72 和 AS108 与 GK 受体的结合亲和力最高。由于符合利宾斯基的 "五法则",这些化合物的胃肠道吸收和排泄效率很高。与标准药物Dorzagliatin(GKA)和MRK(共轭配体)相比,这些物质明显缺乏AMES毒性、皮肤敏感性和肝毒性:在最近的研究中,开发出了具有更好的药代动力学特征、更高的结合亲和力和更低的毒性的先导分子,可作为葡萄糖激酶激活剂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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