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Structure prediction with FAMS for proteins screened critically to autoimmune diseases based upon bioimformatics

机译:利用FANS对基于生物信息学对自身免疫性疾病进行严格筛选的蛋白质进行结构预测

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摘要

Drug discovery for autoimmune diseases is recently recognized to be an important task. In this study, we try to perform structure prediction of proteins whose gene promoter regions were preV1ous reported to be specifically methelysed or de-methylased commonly for three autoimmune diseases, systemic lupus erythematosus, rheumatoid arthritis, and dermatomyositis. FAMS were employed for this purpose and we can predict three dimensional structure with significantly small enough P-values. Most of them are suggested to be self immunology related proteins and will be important drug target candidates. We also found some proteins whichform complex with each other. The possibility of a new drug target, i.e., suppression of protein complex formation is suggested.
机译:最近发现用于自身免疫性疾病的药物发现是一项重要的任务。在这项研究中,我们尝试对蛋白质的结构预测进行预测,这些蛋白质的基因启动子区域据报道通常被特异地分解或去甲基化,用于三种自身免疫性疾病,系统性红斑狼疮,类风湿性关节炎和皮肌炎。为此使用了FAMS,我们可以预测具有足够小的P值的三维结构。建议它们中的大多数是与自身免疫学相关的蛋白,并且将是重要的药物靶标候选物。我们还发现了一些彼此形成复合物的蛋白质。建议了新药物靶标的可能性,即抑制蛋白质复合物形成。

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