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核真核蛋白复合体的计算结构

Ian R Humphreys^1,2, Jimin Pei^3,4, Minkyung Baek^1,2

¹Department of Biochemistry, University of Washington, Seattle, WA, USA.

Science (New York, N.Y.)

|November 11, 2021

概括

研究人员使用深度学习和共同进化分析来预测酵母中的蛋白质结构. 发现了1505种相互作用的蛋白质对, 其中包括106种新的复合体, 进步了我们对细胞功能的理解.

科学领域:

分子生物学
结构生物学
计算生物学

背景情况:

蛋白与蛋白的相互作用是细胞过程的基础,但许多真核蛋白复杂结构仍然没有特征.
识别和结构建模这些复杂物对于理解生物功能至关重要.

研究的目的:

系统地识别和建模*Saccharomyces cerevisiae*蛋白质组中的核心真核蛋白质复合体.
利用氨基酸共进化分析和深度学习的进展来预测结构.

主要方法:

使用RoseTTAFold和AlphaFold进行结构建模.
使用多个序列对齐选了酵母蛋白质组中的830万个蛋白质对.
应用氨基酸共进化分析来预测相互作用的蛋白质.

主要成果:

确定了1505种可能相互作用的酵母蛋白对.
生成了106个以前未知的蛋白质组合的结构模型.
提供了806个缺乏先前结构特征的结构模型.
具有最多五个子单元的特征复合体参与了必要的细胞过程.

结论:

这项研究系统地绘制和结构模拟了包括新型在内的众多酵母蛋白质复合体.
这些发现为真核细胞功能和蛋白质复杂组织提供了重要的见解.
同进化分析和深度学习的综合方法对于发现和建模蛋白相互作用是有效的.

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