In Silico Research Laboratory, Eminent Biosciences, Mahalakshmi Nagar, Indore – 452010, Madhya Pradesh, India
Center of Excellence in Biotechnology Research, College of Science, King Saud University, Riyadh, Saudi Arabia
Curr Comput Aided Drug Des. 2020;16(5):641-653. doi: 10.2174/1573409915666190902142524.
Multicentric Castleman Disease (MCD) is a confrontational lymphoproliferative disorder described by symptoms such as lymph node proliferation, unwarranted secretion of inflammatory cytokines, hyperactive immune system, and in severe cases, multiple organ dysfunction. Interleukin-6 (IL-6) is a pleiotropic cytokine which is involved in a large range of physiological processes in our body such as pro-inflammation, anti-inflammation, differentiation of T-cells and is reported to be a key pathological factor in MCD. In the case of MCD, it was observed that IL-6 is overproduced from T-cells and macrophages which disturb Hepcidin, a vital regulator of iron trafficking in macrophage. The present study endeavour to expound the inhibitor which binds to IL-6 protein receptor with high affinity.
MolegroVirtual Docker software was employed to find the best-established drug from the list of selected inhibitors of IL-6. This compound was subjected to virtual screening against PubChem database to get inhibitors with a very similar structure. These inhibitors were docked to obtain a compound binding with high affinity to the target protein. The established compound and the virtual screened compound were subjected to relative analysis of interactivity energy variables and ADMET profile studies.
Among all the selected inhibitors, the virtual screened compound PubChem CID: 101119084 is seen to possess the highest affinity with the target protein. Comparative studies and ADMET analysis further implicate this compound as a better inhibitor of the IL-6 protein.
Hence, this compound recognized in the study possesses high potential as an IL-6 inhibitor which might assist in the treatment of Multicentric Castleman Disease and should be examined for its efficiency by in vivo studies.
多中心 Castleman 病(MCD)是一种具有挑战性的淋巴组织增生性疾病,其特征为淋巴结增生、炎症细胞因子的不适当分泌、免疫系统过度活跃,在严重情况下,还会导致多个器官功能障碍。白细胞介素-6(IL-6)是一种多效细胞因子,参与我们体内的多种生理过程,如炎症前、抗炎、T 细胞分化,据报道,它是 MCD 的关键病理因素。在 MCD 的情况下,观察到 IL-6 是由 T 细胞和巨噬细胞过度产生的,这些细胞会干扰铁在巨噬细胞中的运输的重要调节剂——铁调素。本研究旨在阐述与 IL-6 蛋白受体具有高亲和力的抑制剂。
采用 MolegroVirtual Docker 软件从 IL-6 抑制剂列表中找到最佳的药物。该化合物被用于对 PubChem 数据库进行虚拟筛选,以获得具有非常相似结构的抑制剂。这些抑制剂被对接以获得与目标蛋白具有高亲和力的化合物。将已建立的化合物和虚拟筛选的化合物进行相互作用能量变量的相对分析和 ADMET 概况研究。
在所选择的抑制剂中,虚拟筛选的化合物 PubChem CID:101119084 被认为与目标蛋白具有最高的亲和力。比较研究和 ADMET 分析进一步表明,该化合物是一种更好的 IL-6 抑制剂。
因此,本研究中鉴定的该化合物具有作为 IL-6 抑制剂的高潜力,可能有助于治疗多中心 Castleman 病,并应通过体内研究来检验其疗效。