来自基因组序列的无序蛋白质的结构状态
Agnes Toth-Petroczy1, Perry Palmedo2, John Ingraham1
1Department of Systems Biology, Harvard Medical School, Harvard University, Boston, MA 02115, USA.
Cell
|September 24, 2016
概括
研究人员开发了一种新的方法来预测蛋白质的结构. 这种方法在本质上是无序的区域内识别功能性,有序的蛋白质状态,帮助疾病研究.
科学领域:
- 生物化学
- 结构生物学
- 基因组学
背景情况:
- 蛋白质的灵活性从简单的运动到功能障碍.
- 大约50%的人类蛋白质含有无序区域,
- 使用进化合来预测有序蛋白质和RNA的3D状态.
研究的目的:
- 在看似无序的蛋白质中预测有序状态的方法.
- 评估人类蛋白质中超过1000个无序区域的结构潜力.
- 在蛋白质中发现以前未知的功能结构.
主要方法:
- 调整了进化合方法来分析无序的蛋白质.
- 应用该方法来预测已知的混乱区域中的残留物相互作用.
- 使用60多个经过实验表征的无序区域来评估准确性.
主要成果:
- 开发的方法准确地预测了混乱区域中的残留物相互作用 (79%).
- 至少50%的被评估的无序区域显示出形成二维或三维结构的倾向.
- 共同进化的约束揭示了以前未知的重要结构.
结论:
- 内部无序的蛋白质具有结构秩序的连续性.
- 该方法成功预测了无序蛋白质的结构,提供了新的功能洞察力.
- 这种方法有助于我们更好地理解蛋白质结构与疾病之间的关系.
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