Brun Christine, Chevenet François, Martin David, Wojcik Jérôme, Guénoche Alain, Jacq Bernard
Laboratoire de Génétique et Physiologie du Développement, CNRS UMR6545, Parc Scientifique et Technologique de Luminy, Case 907, 13288 Marseille Cedex 9, France.
Genome Biol. 2003;5(1):R6. doi: 10.1186/gb-2003-5-1-r6. Epub 2003 Dec 15.
We here describe PRODISTIN, a new computational method allowing the functional clustering of proteins on the basis of protein-protein interaction data. This method, assessed biologically and statistically, enabled us to classify 11% of the Saccharomyces cerevisiae proteome into several groups, the majority of which contained proteins involved in the same biological process(es), and to predict a cellular function for many otherwise uncharacterized proteins.
我们在此描述了PRODISTIN,这是一种新的计算方法,可基于蛋白质-蛋白质相互作用数据对蛋白质进行功能聚类。该方法经过生物学和统计学评估,使我们能够将11%的酿酒酵母蛋白质组分类为几个组,其中大多数组包含参与相同生物学过程的蛋白质,并能为许多其他未表征的蛋白质预测细胞功能。