Miller John P, Lo Russell S, Ben-Hur Asa, Desmarais Cynthia, Stagljar Igor, Noble William Stafford, Fields Stanley
Department of Genome Sciences, Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA.
Proc Natl Acad Sci U S A. 2005 Aug 23;102(34):12123-8. doi: 10.1073/pnas.0505482102. Epub 2005 Aug 10.
We carried out a large-scale screen to identify interactions between integral membrane proteins of Saccharomyces cerevisiae by using a modified split-ubiquitin technique. Among 705 proteins annotated as integral membrane, we identified 1,985 putative interactions involving 536 proteins. To ascribe confidence levels to the interactions, we used a support vector machine algorithm to classify interactions based on the assay results and protein data derived from the literature. Previously identified and computationally supported interactions were used to train the support vector machine, which identified 131 interactions of highest confidence, 209 of the next highest confidence, 468 of the next highest, and the remaining 1,085 of low confidence. This study provides numerous putative interactions among a class of proteins that have been difficult to analyze on a high-throughput basis by other approaches. The results identify potential previously undescribed components of established biological processes and roles for integral membrane proteins of ascribed functions.
我们采用改良的裂合泛素技术，开展了一项大规模筛选，以鉴定酿酒酵母整合膜蛋白之间的相互作用。在705个注释为整合膜蛋白的蛋白质中，我们鉴定出涉及536个蛋白质的1985个推定相互作用。为了给这些相互作用赋予置信水平，我们使用支持向量机算法，根据实验结果和从文献中获取的蛋白质数据对相互作用进行分类。先前鉴定的以及通过计算支持的相互作用被用于训练支持向量机，该支持向量机鉴定出131个置信度最高的相互作用、209个次高置信度的相互作用、468个再下一级高置信度的相互作用，其余1085个为低置信度相互作用。本研究在一类难以通过其他方法进行高通量分析的蛋白质之间提供了大量推定相互作用。结果确定了既定生物学过程中潜在的、先前未描述的成分，以及具有特定功能的整合膜蛋白的作用。
