Antonov Alexey V, Mewes Hans W
GSF National Research Center for Environment and Health, Institute for Bioinformatics, Neuherberg, Germany.
Comput Biol Chem. 2008 Dec;32(6):412-6. doi: 10.1016/j.compbiolchem.2008.07.003. Epub 2008 Jul 10.
We have developed a computational technique refereed to as complex phylogenetic profiling. Our approach combines logic analyses of gene phylogenetic profiles and phenotype data. Logic analysis of phylogenetic profiles identifies sets of proteins whose presence or absence follows certain logic relationships. Our approach identifies phenotype specific logic, i.e. it identifies sets of proteins simultaneously present or absent only in genomes with a given phenotype. For example, for most genomes expressing phenotype A, the presence of protein C presumes the presence of protein B, while for other genomes (not expressing phenotype A) the presence of protein C presumes the absence of protein B. Application of complex phylogenetic profiling to bacterial data and several well studied phenotypes reveals genotype-phenotype associations on the level of fundamental biochemical pathways.
我们开发了一种称为复杂系统发育谱分析的计算技术。我们的方法结合了基因系统发育谱和表型数据的逻辑分析。系统发育谱的逻辑分析可识别其存在或不存在遵循特定逻辑关系的蛋白质组。我们的方法可识别特定表型的逻辑,即它可识别仅在具有给定表型的基因组中同时存在或不存在的蛋白质组。例如,对于大多数表达表型A的基因组,蛋白质C的存在意味着蛋白质B的存在,而对于其他基因组(不表达表型A),蛋白质C的存在意味着蛋白质B的不存在。将复杂系统发育谱分析应用于细菌数据和几种经过充分研究的表型,揭示了基本生化途径水平上的基因型-表型关联。