基于原理、药效团定位和分子对接的新型吲哚衍生物包容性药物设计。

Anuradha Mehra, Amit Mittal, Rahul Sharma, Rekha Sangwan, Aryan Mehra
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引用次数: 0

摘要

简介/背景:2型糖尿病患者由于胰岛素抵抗或胰岛素分泌受损而出现胰岛素信号不足,最终导致血糖水平升高,即高血糖症。糖尿病是一项全球性的挑战,其患病率在发达国家和发展中国家都在稳步上升。改善2型糖尿病管理的一个有希望的途径是探索葡萄糖激酶激活剂作为一个创新的治疗靶点。值得注意的是,这一领域最近的一个突破是日本FDA批准使用创新的GKA Dorzagliatin治疗2型糖尿病。目的:为了加强对2型糖尿病的管理,减轻与长期使用常规药物相关的不良副作用,本研究努力寻求创造创新的葡萄糖激酶激活剂。方法:锌数据库收集了56个化合物,每个化合物与1-(苯基磺酰基)- 1h -吲哚-2-羧酸具有40%的结构相似性。这些化合物都具有独特的吲哚核心,经过精心挑选以供进一步研究。使用ChemBioDraw Ultra制作结构图,使用1.5.6 AutoDock Vina进行分子对接。瑞士ADME算法促进了在线log P预测,而PKCSM软件用于预测主要化合物的毒性特征。利用高斯16量子化学软件和Mulliken电荷分布优化分子几何结构,进行DFT分析以确保化合物的稳定性。结果:在所有化合物中,RS33和RS37对GK受体的亲和力最高,对接分数分别为-8.93和-8.44 kcal/mol。这些化合物遵循利平斯基规则,表明有希望通过胃肠道吸收和排泄。与标准药物Dorzagliatin (GKA)和MRK(共结晶配体)相比,RS33和RS37均无AMES毒性、皮肤致敏性和肝毒性。在DFT分析中,RS43具有较高的ΔE、η和χ值,是最稳定的化合物。结论:基于计算研究,新设计的铅分子表现出增强的药代动力学特征,优越的结合亲和力和最小的毒性。这些特性使它们有希望作为葡萄糖激酶激活剂进一步优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inclusive Drug Designing of Novel Indole Derivatives using Rationale, Pharmacophore Mapping and Molecular Docking.

Introductions/Background: The presence of insufficient insulin signaling in type 2 diabetes arises due to either insulin resistance or impaired insulin secretion, ultimately lead-ing to elevated blood glucose levels, a condition known as hyperglycemia. Diabetes poses a pervasive worldwide challenge, with its prevalence steadily surging in both developed and developing nations. A promising avenue for improving the management of diabetes type 2 involves the exploration of glucokinase activators as an innovative therapeutic target. Nota-bly, a recent breakthrough in this area has been the market approval granted by the Japanese FDA for the use of the innovative GKA, Dorzagliatin, in the treatment of diabetes type 2.

Objective: To augment the management of diabetes type 2 and mitigate the undesirable side effects linked to prolonged use of conventional medications, this research endeavor sought to create innovative glucokinase activators.

Methods: The ZINC database yielded a collection of 56 compounds, each showcasing a 40% structural similarity to 1-(phenylsulfonyl)-1H-indole-2-carboxylic acid. These compounds, all featuring the distinctive indole core, were meticulously selected for further investigation. Structural illustrations were crafted using ChemBioDraw Ultra, and 1.5.6 AutoDock Vina was for molecular docking. The Swiss ADME algorithm facilitated online log P predictions, while the software PKCSM was utilized to forecast the toxicity profiles of the leading com-pounds. DFT analysis was done to ensure the stability of compounds by using Gaussian 16 quantum chemistry software and Mulliken charge distributions used to optimize molecular geometries.

Results: Among all the compounds, RS33 and RS37 exhibited the highest affinities for GK receptors, with the docking scores of -8.93 and -8.44 kcal/mol, respectively. These com-pounds follow Lipinski's Rule, indicating promising absorption and excretion profiles through the gastrointestinal tract. Compared to standard drugs Dorzagliatin (GKA) and MRK (co-crystallized ligand), both RS33 and RS37 demonstrate no AMES toxicity, skin sensitiza-tion, and hepatotoxicity. RS43 is the most stable compound as it has high ΔE, η, and χ in DFT analysis.

Conclusion: The novel-designed lead molecules demonstrate an enhanced pharmacokinetic profile, superior binding affinity, and minimal toxicity, based on computational study. These attributes make them promising candidates for further optimization as glucokinase activators.

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