Roney Miah, Issahaku Abdul Rashid, Aluwi Mohd Fadhlizil Fasihi Mohd
Faculty of Industrial Sciences and Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, Pahang Darul Makmur, Lebuhraya Tun Razak, Gambang, Kuantan, 26300 Malaysia.
Centre for Bio-aromatic Research, Universiti Malaysia Pahang Al-Sultan Abdullah, Pahang Darul Makmur, Lebuhraya Tun Razak, Gambang, Kuantan, 26300 Malaysia.
In Silico Pharmacol. 2023 Nov 20;11(1):36. doi: 10.1007/s40203-023-00176-y. eCollection 2023.
The finest sources of therapeutic agents are natural products, and usnic acid is a secondary metabolite derived from lichen that has a wide range of biological actions, including anti-viral, anti-cancer, anti-bacterial, and anti-diabetic (hyperglycemia). Based on the hyperglycemia activity of UA, this work seeks to identify new anti-hyperglycemia medicines by virtual screening of pyrazole derivatives of UA. Seven hit compounds (Compounds 1, 5, 6, 7, 17, 18 and 33), which finally go through docking-based screening to produce the lead molecule, were identified by the physicochemical attributes, drug-likeliness, and ADMET prediction. The docking score for the chosen compounds containing PPARγ agonists ranged from -7.6 to -9.2 kcal/mol, whereas the docking goal for compounds 5, 6, and 7 was -9.2 kcal/mol. Based on the binding energy and bound amino acid residues as well as compared to the reference compound, compound-6 considered as lead compound. Furthermore, the MD simulation of 3CS8-Compound-6 and 3CS8-Rosiglitazone complexes were performed to verify the stability of these complexes and the binding posture acquired in docking experiments. The compound-6 had strong pharmacological characteristics, bound to the PPARγ agonist active site, and was expected to reduce the activity of the receptor, according to the virtual screening results. It must be justified to conduct both and experiments to examine the efficacy of this compound.
The online version contains supplementary material available at 10.1007/s40203-023-00176-y.
治疗药物的最佳来源是天然产物,松萝酸是一种源自地衣的次生代谢产物,具有广泛的生物活性,包括抗病毒、抗癌、抗菌和抗糖尿病(高血糖)作用。基于松萝酸的高血糖活性,本研究旨在通过对松萝酸的吡唑衍生物进行虚拟筛选来鉴定新的抗高血糖药物。通过物理化学性质、类药性和ADMET预测,确定了七种命中化合物(化合物1、5、6、7、17、18和33),这些化合物最终通过基于对接的筛选产生先导分子。所选含PPARγ激动剂化合物的对接分数范围为-7.6至-9.2千卡/摩尔,而化合物5、6和7的对接目标为-9.2千卡/摩尔。基于结合能和结合氨基酸残基,并与参考化合物比较,化合物6被视为先导化合物。此外,对3CS8-化合物-6和3CS8-罗格列酮复合物进行了分子动力学模拟,以验证这些复合物的稳定性以及对接实验中获得的结合构象。根据虚拟筛选结果,化合物6具有较强的药理特性,与PPARγ激动剂活性位点结合,并有望降低受体活性。必须进行实验来检验该化合物的疗效。
在线版本包含可在10.1007/s40203-023-00176-y获取的补充材料。