Towards designing of some potential new autoimmune disorder inhibitors using crystal structures and Hirshfeld surface analyses in combination with molecular docking and molecular dynamics simulations

Emmanuel Israel Edache , Adamu Uzairu , Paul Andrew Mamza , Gideon Adamu Shallangwa , Muhammad Tukur Ibrahim
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Abstract

The emergence of multi-drug-resistant autoimmune diseases poses a significant risk to human health and has garnered global attention. In this study, metformin and sulfasalazine have been used as starting materials or control. This research has successfully designed a hundred compounds, to assess their efficacy against two autoimmune disease pathogens: type 1 diabetes and rheumatoid arthritis. The DFT method was engaged to calculate the vibrational frequencies and Frontier Molecular orbitals (FMOs) of the selected compounds. The reactivity and selectivity of the selected compounds are analyzed using parameters like MEP and global reactivity descriptors, which are calculated and interpreted. The Density of state (DOS) of the molecule has been plotted and interpreted. Furthermore, docking results showed favorable interactions of the designed compound D385 with catalytically important amino acid residues. The interactions of the best active D385 when compared with the template and the standard drugs show similar binding sites. DFT studies further confirm the presence of HOMO orbital centered on the isoxazole ring further highlighting its importance for receptor-ligand hydrogen and hydrophobic interactions. The molecular dynamics simulations and MM/GBSA analysis reveal that the inhibitory nature of the designed compound D385 is a proven inhibitor of diabetes type 1 and rheumatoid arthritis inhibitor activities. Our study suggested that the designed compounds showed comparable results to that of metformin and sulfasalazine and may be used for further experimental studies. It can also be used as a pipeline to search for and design new potential autoimmune disease inhibitors. The most promising candidates from computational trials can be examined in a wet laboratory experiment before moving on to clinical trials.

利用晶体结构和 Hirshfeld 表面分析,结合分子对接和分子动力学模拟,设计一些潜在的新型自身免疫性疾病抑制剂
多重耐药性自身免疫性疾病的出现对人类健康构成重大威胁,已引起全球关注。在这项研究中,二甲双胍和柳氮磺胺吡啶被用作起始材料或对照。这项研究成功设计了一百种化合物,以评估它们对两种自身免疫性疾病病原体(1 型糖尿病和类风湿性关节炎)的疗效。采用 DFT 方法计算了所选化合物的振动频率和前沿分子轨道(FMO)。通过计算和解释 MEP 和全局反应性描述符等参数,分析了所选化合物的反应性和选择性。绘制并解释了分子的状态密度(DOS)。此外,对接结果表明,所设计的化合物 D385 与具有重要催化作用的氨基酸残基具有良好的相互作用。最佳活性 D385 与模板和标准药物的相互作用显示出相似的结合位点。DFT 研究进一步证实了以异噁唑环为中心的 HOMO 轨道的存在,进一步突出了其在受体-配体氢键和疏水相互作用中的重要性。分子动力学模拟和 MM/GBSA 分析表明,所设计的化合物 D385 具有抑制 1 型糖尿病和类风湿性关节炎的活性。我们的研究表明,所设计的化合物与二甲双胍和柳氮磺胺吡啶的效果相当,可用于进一步的实验研究。它还可用作寻找和设计新的潜在自身免疫性疾病抑制剂的管道。计算试验中最有希望的候选化合物可在湿实验室实验中进行检验,然后再进入临床试验。
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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