针对人类蛋白质与蛋白质相互作用的全蛋白质查
Ernst W Schmid1, Helen Zhu1, Eunjin Ryu1,2,3
1Department of Biological Chemistry & Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.
bioRxiv : the preprint server for biology
|November 26, 2025
概括
研究人员开发了一个计算管道来预测人类蛋白质与蛋白质相互作用 (PPI). 这种方法确定了成千上万的新型和结构不明的PPI,进步了我们对细胞生理学的理解.
科学领域:
- 分子生物学分子生物学
- 计算生物学 计算生物学
- 结构生物学 结构生物学
背景情况:
- 蛋白与蛋白相互作用 (PPI) 是细胞功能的基础.
- 大多数人体PPI仍然未被识别和结构性未表征.
研究的目的:
- 开发和实施用于识别和描述人类PPI的计算管道.
- 创建一个全面的预测PPI的资源,用于生物假设的生成.
主要方法:
- 采用了两步计算选方法.
- 基于知识的快速分类器 (KIRC) 模型根据生物特征对潜在的PPI进行了排名.
- AlphaFold-Multimer预测了顶级排名对的结构,随后进行了SPOC (结构预测和奥米克斯分类器) 分析.
主要成果:
- 该管道确定了大约16000个高可靠性PPI,精度为~90%.
- 这些PPI的5000多种新发现.
- 超过12,000个确定的PPI缺乏以前的结构性解决方案.
结论:
- 开发的 开发的 开发的
- 预测一些预测.
- 这种资源显著扩大了人类PPI的已知景观.
- 这些预测促进了新的生物学假设,结构数据的重新解释,以及新型PPI的识别,例如那些参与染色体组装的PPI.
- 这些发现预计将加速对脊椎动物细胞生理学至关重要的分子相互作用的表征.
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