本文采用高性能的Discovery Studio 2021(DS2018R2)大分子计算模拟软件,在RCSB PDB数据库中调用蛋白质文件建立其立体结构,应用ZDOCK程序算法探究IL-18亚基(AB亚基或B亚基)与IL-18R相互作用的空间结构与构象变化,计算找到了相互作用界...本文采用高性能的Discovery Studio 2021(DS2018R2)大分子计算模拟软件,在RCSB PDB数据库中调用蛋白质文件建立其立体结构,应用ZDOCK程序算法探究IL-18亚基(AB亚基或B亚基)与IL-18R相互作用的空间结构与构象变化,计算找到了相互作用界面的氨基酸的一级序列与二级结构以及它们之间的相互作用力,并用拉氏图评估对接构象,研究发现B亚基在IL-18与IL-18R的结合中起主要作用。该计算方法与实验方法比较,可快速找到蛋白-蛋白相互作用的构象空间,优化膜蛋白相互作用的精度,其能从原子与量子水平探究细胞因子与膜蛋白受体的相互作用,其数据精确定量,有助于更深入解析分子机理。本文应用ZDOCK算法建立了通过计算模拟膜蛋白生物大分子相互作用的新领域,为细胞因子与化学因子的多肽类药物开发提供新的思路,为细菌病毒感染/肿瘤疾病的防治提供科学理论依据,在分子识别、神经元网络深度学习、生物信息处理领域具有广泛的应用。展开更多
To discuss the roles of serum interleukin-18 (IL-18), interleukin-10 (IL-10) and soluble interleukin-2R (sIL-2R) in the pathogenesis of chronic hepatitis C and to observe the effects of interferon (IFN) on the above- ...To discuss the roles of serum interleukin-18 (IL-18), interleukin-10 (IL-10) and soluble interleukin-2R (sIL-2R) in the pathogenesis of chronic hepatitis C and to observe the effects of interferon (IFN) on the above- mentioned serum cytokines Methods The levels of above- mentioned cytokines were detected in 10 healthy individuals, 24 asymptomatic hepatitis virus C (HCV) carriers and 27 patients with chronic hepatitis C ( before and after IFN treatment) using enzyme linked immunosorbent assay (ELISA) Results The levels of the cytokines in patients with chronic hepatitis C are higher than in healthy people (P<0 05) and in asymptomatic HCV carriers(P<0 05) The values of the cytokines show a significant positive correlation to ALT (P<0 05) Levels of tested cytokines decreased observably after IFN treatment (P<0 05) The grades of the serum levels for sIL-2R and IL-10 before IFN treatment (from high to low) were categorized accordingly: non-response group> partial- response group >complete- response group (P<0 05) Conclusions The tested cytokines co-participate in the pathogenesis of chronic hepatitis C, and can be used to evaluate the effect of IFN on the immune state of organisms Furthermore, sIL-2R and IL-10 are important for predicting the anti-viral efficacy of IFN展开更多
文摘本文采用高性能的Discovery Studio 2021(DS2018R2)大分子计算模拟软件,在RCSB PDB数据库中调用蛋白质文件建立其立体结构,应用ZDOCK程序算法探究IL-18亚基(AB亚基或B亚基)与IL-18R相互作用的空间结构与构象变化,计算找到了相互作用界面的氨基酸的一级序列与二级结构以及它们之间的相互作用力,并用拉氏图评估对接构象,研究发现B亚基在IL-18与IL-18R的结合中起主要作用。该计算方法与实验方法比较,可快速找到蛋白-蛋白相互作用的构象空间,优化膜蛋白相互作用的精度,其能从原子与量子水平探究细胞因子与膜蛋白受体的相互作用,其数据精确定量,有助于更深入解析分子机理。本文应用ZDOCK算法建立了通过计算模拟膜蛋白生物大分子相互作用的新领域,为细胞因子与化学因子的多肽类药物开发提供新的思路,为细菌病毒感染/肿瘤疾病的防治提供科学理论依据,在分子识别、神经元网络深度学习、生物信息处理领域具有广泛的应用。
文摘To discuss the roles of serum interleukin-18 (IL-18), interleukin-10 (IL-10) and soluble interleukin-2R (sIL-2R) in the pathogenesis of chronic hepatitis C and to observe the effects of interferon (IFN) on the above- mentioned serum cytokines Methods The levels of above- mentioned cytokines were detected in 10 healthy individuals, 24 asymptomatic hepatitis virus C (HCV) carriers and 27 patients with chronic hepatitis C ( before and after IFN treatment) using enzyme linked immunosorbent assay (ELISA) Results The levels of the cytokines in patients with chronic hepatitis C are higher than in healthy people (P<0 05) and in asymptomatic HCV carriers(P<0 05) The values of the cytokines show a significant positive correlation to ALT (P<0 05) Levels of tested cytokines decreased observably after IFN treatment (P<0 05) The grades of the serum levels for sIL-2R and IL-10 before IFN treatment (from high to low) were categorized accordingly: non-response group> partial- response group >complete- response group (P<0 05) Conclusions The tested cytokines co-participate in the pathogenesis of chronic hepatitis C, and can be used to evaluate the effect of IFN on the immune state of organisms Furthermore, sIL-2R and IL-10 are important for predicting the anti-viral efficacy of IFN
