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Analyzing and Building Nucleic Acid Structures with 3DNA
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膜蛋白的三维结构来自基因组测序
Thomas A Hopf1, Lucy J Colwell, Robert Sheridan
1Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.
Cell
|May 15, 2012
概括
来自进化数据的氨基酸共变现在可以预测跨膜蛋白质结构. 这种方法准确地模拟复杂的蛋白质,仅从序列中揭示它们的功能和动态.
科学领域:
- 生物物理学的生物物理.
- 计算生物学 计算生物学
- 结构生物学 结构生物学
背景情况:
- 跨膜蛋白对于细胞功能至关重要,但在结构上具有挑战性.
- 仅仅从序列中预测它们的3D结构是结构生物学中的一个重大挑战.
研究的目的:
- 开发和验证一种用于预测跨膜蛋白质结构的新计算方法.
- 为了证明进化信息对新结构预测的有用性.
主要方法:
- 利用从进化序列记录中推断出的氨基酸共变.
- 应用最大的方法来确定双向距离约束.
- 使用这些约束条件生成全原子模型 (EVfold_membrane).
主要成果:
- 成功预测了11个以前未知的跨膜蛋白的3D结构 (多达14个螺旋).
- 在对23个跨膜蛋白家族的盲目de novo结构预测中取得了前所未有的准确性.
- 证明了该方法能够预测蛋白质寡合化,功能部位和构造变化的能力.
结论:
- 进化序列数据为跨膜蛋白质结构预测提供了强大的约束.
- EVfold_membrane显著提升了模拟多样化和复杂的跨膜蛋白质的能力.
- 这种方法有望将结构建模扩展到更广泛的蛋白质中.
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