从基因组序列检测蛋白质功能和蛋白质与蛋白质相互作用.
E M Marcotte1, M Pellegrini, H L Ng
1UCLA-Department of Energy Laboratory of Structural Biology and Molecular Medicine, University of California at Los Angeles, Los Angeles, CA 90095-1570, USA.
概括
一种新的计算方法通过识别融合同类物来使用基因组序列预测蛋白质相互作用. 这种方法确定了大肠杆菌和酵母菌中成千上万种潜在的蛋白质-蛋白质相互作用,有助于理解蛋白质功能.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 基因组学就是基因组学.
背景情况:
- 蛋白质与蛋白质之间的相互作用对于细胞功能至关重要.
- 识别这些相互作用对于理解生物途径和疾病机制至关重要.
- 现有的检测蛋白相互作用的方法有局限性.
研究的目的:
- 开发和验证一种新的计算方法,从基因组序列推断蛋白质-蛋白质相互作用.
- 使用拟议的方法,识别大肠杆菌和酵母中的新型蛋白质相互作用.
- 评估计算预测相互作用的功能相关性和可靠性.
主要方法:
- 基于观察其他生物体中融合的同类蛋白质,开发了一种计算方法.
- 来自多个生物体的基因组序列被搜索,以确定融合同类的实例.
- 使用统计过和与现有数据库 (例如,相互作用蛋白质数据库) 的比较来验证预测.
主要成果:
- 该方法在大肠杆菌中发现了6809个假设的蛋白质与蛋白质相互作用.
- 在酵母中确定了超过45,502个假设的蛋白质-蛋白质相互作用.
- 很大一部分预测的交互对是功能相关的,计算过提高了交互的准确性.
- 对链接蛋白质的分析表明它们参与了复合体和通路.
结论:
- 拟议的计算方法有效地从基因组序列推断出蛋白质-蛋白质相互作用.
- 这种方法显著扩大了E. coli和酵母等模型生物中已知的蛋白质相互作用的目录.
- 这些发现为进一步研究蛋白质功能,细胞机制和潜在的治疗点提供了宝贵的资源.
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These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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