具有细胞抗氧化活性的多种核因子红色素2激活剂的计算设计
Mingyue Yuwen1, Xiaoning Gao1, Junli Ba1
1State Key Laboratory of Synthetic Biology, Tianjin Key Laboratory of Function and Application of Biological Macromolecular Structures, School of Life Sciences, Faculty of Medicine, Tianjin University, Tianjin 300072, China.
研究人员使用深度学习来设计激活KEAP1-NRF2通路的微蛋白,增强细胞抗氧化防御. 这些新型结合剂在治疗与氧化应激相关的疾病方面表现有前途.
科学领域:
- 生物化学 生物化学
- 分子生物学分子生物学
- 计算生物学 计算生物学
背景情况:
- 氧化应激与慢性疾病有关.
- KEAP1-NRF2通路对于细胞抗氧化反应至关重要.
- 现有的合成抗氧化剂在激活这种途径方面存在局限性.
研究的目的:
- 使用深度学习设计新型小蛋白来激活NRF2通路.
- 开发细胞抗氧化防御的强效和选择性激活剂.
主要方法:
- 应用深度学习算法用于小型蛋白质设计.
- 生物化学测试以确定与KEAP的结合亲和关系1.
- 基于细胞的测试来评估NRF2激活和抗氧化基因表达.
主要成果:
- 五种设计的迷你蛋白质结合剂证明了对KEAP1-NRF2复合物的强烈干扰 (对KEAP1的4.4nM到53.3nM亲和力1).
- 通过图案支架设计的两个小蛋白在真核细胞中成功激活了NRF2.
- 激活NRF2导致抗氧化基因表达增加3.8倍,并在氧化应激下增强细胞存活率.
结论:
- 深度学习集成模型可以创建稳定的小蛋白质,具有不同的结构和特性.
- 这些微型蛋白质提供了一种有前途的治疗策略,可以预防氧化损伤和相关疾病.
- 设计的小蛋白质支持细胞抗氧化系统中的适应性恒温.
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