Opo F A Dain Md, Alkarim Saleh, Alrefaei Ghadeer I, Molla Mohammad Habibur Rahman, Alsubhi Nouf H, Alzahrani Faisal, Ahammad Foysal
Department of Biological Science, Faculty of Sciences, King Abdulaziz University (KAU), Jeddah 21589, Saudi Arabia.
Embryonic Stem Cell Research Unit, King Fahd Medical Research Center (KFMRC), King Abdulaziz University (KAU), Jeddah 21589, Saudi Arabia.
Curr Issues Mol Biol. 2022 Oct 13;44(10):4838-4858. doi: 10.3390/cimb44100329.
The mortality of cancer patients with neuroblastoma is increasing due to the limited availability of specific treatment options. Few drug candidates for combating neuroblastoma have been developed, and identifying novel therapeutic candidates against the disease is an urgent issue. It has been found that protein is amplified in one-third of human neuroblastomas and expressed as an attractive drug target against the disease. The protein interferes with the bromodomain and extraterminal (BET) family proteins. Pharmacologically inhibition of the protein potently depletes in neuroblastoma cells. BET inhibitors target transcription and show therapeutic efficacy against neuroblastoma. Therefore, the study aimed to identify potential inhibitors against the BET family protein, specifically Brd4 (brodamine-containing protein 4), to hinder the activity of neuroblastoma cells. To identify effective molecular candidates against the disease, a structure-based pharmacophore model was created for the binding site of the Brd4 protein. The pharmacophore model generated from the protein Brd4 was validated to screen potential natural active compounds. The compounds identified through the pharmacophore-model-based virtual-screening process were further screened through molecular docking, ADME (absorption, distribution, metabolism, and excretion), toxicity, and molecular dynamics (MD) simulation approach. The pharmacophore-model-based screening process initially identified 136 compounds, further evaluated based on molecular docking, ADME analysis, and toxicity approaches, identifying four compounds with good binding affinity and lower side effects. The stability of the selected compounds was also confirmed by dynamic simulation and molecular mechanics with generalized Born and surface area solvation (MM-GBSA) methods. Finally, the study identified four natural lead compounds, ZINC2509501, ZINC2566088, ZINC1615112, and ZINC4104882, that will potentially inhibit the activity of the desired protein and help to fight against neuroblastoma and related diseases. However, further evaluations through in vitro and in vivo assays are suggested to identify their efficacy against the desired protein and disease.
由于特定治疗方案有限,神经母细胞瘤癌症患者的死亡率正在上升。针对神经母细胞瘤的候选药物很少被开发出来,因此确定针对该疾病的新型治疗候选药物是一个紧迫的问题。研究发现,某蛋白在三分之一的人类神经母细胞瘤中扩增,并作为针对该疾病的一个有吸引力的药物靶点表达。该蛋白干扰含溴结构域和额外末端(BET)家族蛋白。对该蛋白的药理学抑制可有效消耗神经母细胞瘤细胞中的某物质。BET抑制剂靶向某转录并显示出对神经母细胞瘤的治疗效果。因此,该研究旨在确定针对BET家族蛋白,特别是含溴结构域蛋白4(Brd4)的潜在抑制剂,以阻碍神经母细胞瘤细胞的活性。为了确定针对该疾病的有效分子候选物,为Brd4蛋白的结合位点创建了一个基于结构的药效团模型。从Brd4蛋白生成的药效团模型经过验证,用于筛选潜在的天然活性化合物。通过基于药效团模型的虚拟筛选过程确定的化合物,进一步通过分子对接、ADME(吸收、分布、代谢和排泄)、毒性和分子动力学(MD)模拟方法进行筛选。基于药效团模型的筛选过程最初确定了136种化合物,通过分子对接、ADME分析和毒性方法进一步评估,确定了四种具有良好结合亲和力和较低副作用的化合物。所选化合物的稳定性也通过动态模拟和广义玻恩表面面积溶剂化分子力学(MM-GBSA)方法得到证实。最后,该研究确定了四种天然先导化合物,即ZINC2509501、ZINC2566088、ZINC1615112和ZINC4104882,它们可能会抑制所需蛋白的活性,并有助于对抗神经母细胞瘤及相关疾病。然而,建议通过体外和体内试验进行进一步评估,以确定它们对所需蛋白和疾病的疗效。