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Targeting IL-17 AND IL-17D receptors of rheumatoid arthritis using phytocompounds: A Molecular Docking study

机译:使用植物化合物靶向类风湿性关节炎的IL-17和IL-17D受体:分子对接研究

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Rheumatoid arthritis (RA) is a chronic autoimmune condition of the connective tissue in synovial joints, characterized hy inflammation which can lead to bone and cartilage destruction. IL-17 and IL-17D cytokines produced by a number of cell types, primarily promote pro-inflammatory immune responses and negative regulator in fibroblast growth factor signalling. Thus, the promising therapeutic strategies focus on targeting these cytokines, which has led to the identification of effective inhibitors. However, several studies focused on identifying the anti-arthritic potential of natural compounds. Therefore, in the present study we undertook in silico investigations to decipher the anti-inflammatory prospective of phytocompounds by targeting IL-17 and IL-17D cytokines using Patch Dock algorithm. Additionally, IL-17 and IL-17D proteins structure were modelled and validated for molecular docking study. Further, phytocompounds based on anti-inflammatory property were subjected to Lipinski filter and ADMET properties indicated that all of these compounds showed desirable drug-like criteria. The outcome of this investigation sheds light on the antiinflammatory mechanism of phytocompounds by targeting IL-17 and IL-D for effective treatment of RA.
机译:类风湿性关节炎(RA)是滑膜接头中结缔组织的慢性自身免疫条件,表征炎症可导致骨骼和软骨破坏。由多种细胞类型产生的IL-17和IL-17D细胞因子,主要促进成纤维细胞生长因子信号传导中的促炎症免疫应答和负调节剂。因此,有前途的治疗策略重点是靶向这些细胞因子,这导致了有效抑制剂的鉴定。然而,几项研究重点是鉴定天然化合物的抗关节炎潜力。因此,在本研究中,我们通过使用斑块算法靶向IL-17和IL-17D细胞因子来破译植物化合物的硅化合物的抗炎症前景。另外,IL-17和IL-17D蛋白质结构被建模并验证用于分子对接研究。此外,基于抗炎性能的植物化合物进行脂蛋白酶滤波器,并且探测器特性表明所有这些化合物都显示出理想的药物状标准。通过靶向IL-17和IL-D靶向植物化合物的抗炎机制,靶向IL-17和IL-D,以有效治疗RA的抗炎机制的结果。

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