Kim Sul-Min, Bowers Peter M, Pal Debnath, Strong Michael, Terwilliger Thomas C, Kaufmann Markus, Eisenberg David
Department of Chemistry and Biochemistry, University of California-Los Angeles, Los Angeles, CA 90095, USA.
Structure. 2007 Sep;15(9):1079-89. doi: 10.1016/j.str.2007.06.021.
In the study of protein complexes, is there a computational method for inferring which combinations of proteins in an organism are likely to form a crystallizable complex? Here we attempt to answer this question, using the Protein Data Bank (PDB) to assess the usefulness of inferred functional protein linkages from the Prolinks database. We find that of the 242 nonredundant prokaryotic protein complexes shared between the current PDB and Prolinks, 44% (107/242) contain proteins linked at high confidence by one or more methods of computed functional linkages. Similarly, high-confidence linkages detect 47% of known Escherichia coli protein complexes, with 45% accuracy. Together these findings suggest that functional linkages will be useful in defining protein complexes for structural studies, including for structural genomics. We offer a database of inferred linkages corresponding to likely protein complexes for some 629,952 pairs of proteins in 154 prokaryotes and archaea.
在蛋白质复合物的研究中,是否存在一种计算方法来推断生物体中哪些蛋白质组合可能形成可结晶的复合物?在此,我们试图回答这个问题,利用蛋白质数据库(PDB)来评估从Prolinks数据库推断出的功能性蛋白质连接的有用性。我们发现,在当前PDB和Prolinks之间共享的242个非冗余原核生物蛋白质复合物中,44%(107/242)包含通过一种或多种计算功能连接方法高度可靠地连接的蛋白质。同样,高度可靠的连接能检测出47%的已知大肠杆菌蛋白质复合物,准确率为45%。这些发现共同表明,功能连接在为结构研究(包括结构基因组学)定义蛋白质复合物方面将是有用的。我们提供了一个推断连接的数据库,对应于154种原核生物和古细菌中约629,952对蛋白质可能形成的蛋白质复合物。