变形蛋白以及如何找到它们
Lauren L Porter1, Irina Artsimovitch2, César A Ramírez-Sarmiento3
1National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA; Biochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Current opinion in structural biology
|March 27, 2024
概括
变形蛋白质挑战了蛋白质折叠的传统观点,因为它们存在于多个原生状态. 本综述探讨了研究这些蛋白质的方法,并使用共同进化和人工智能识别新的蛋白质.
科学领域:
- 生物化学和结构生物学
- 计算生物学和生物信息学
背景情况:
- 关于蛋白质具有单一原生状态的传统观点被转型蛋白质的发现所挑战.
- 变形蛋白质可逆地在多个不同的原生结构之间相互转换,扩大了我们对蛋白质折叠和功能的理解.
- 越来越多的已识别的变形蛋白质需要先进的方法来研究和发现它们.
研究的目的:
- 审查生物物理和功能方法的当前进展,以表征变态蛋白质的结构互转换.
- 探索共进化分析的应用,以从序列数据中识别新型变形蛋白质.
- 讨论人工智能 (AI) 在发现变形蛋白和预测它们的结构方面的作用和挑战.
主要方法:
- 生物物理技术,以确定结构互转换和转变蛋白的功能表征.
- 蛋白质序列的同进化分析,以确定变形行为的标志.
- 基于人工智能的蛋白质结构预测工具的应用,用于变形蛋白质的发现和结构确定.
主要成果:
- 在实验性和计算性地描述变形蛋白质的动态性质方面取得了重大进展.
- 同进化信号提供了一个强大的方法来识别大型蛋白质组内的潜在的变形蛋白质.
- 人工智能方法看起来很有前途,但在准确预测变形蛋白质的多重结构方面面临挑战.
结论:
- 变形蛋白质代表了一类令人着迷的蛋白质,对蛋白质折叠,进化和功能有影响.
- 结合生物物理学,共进化和人工智能的综合方法对于推动变形蛋白研究领域的发展至关重要.
- 持续开发计算工具,特别是人工智能,对于释放变形蛋白发现和理解的全部潜力至关重要.
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