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Target Prediction of Transcription Factors: Application of Structure-Based Method to Yeast Genome

机译:转录因子的目标预测:基于结构的方法在酵母基因组中的应用

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Complete genome sequences of many organisms have become available and the functional analysis of genomes will be a target of intensive research. Gene regulation in higher organisms is one of the most important biological functions, and it is achievedby a complex system of transcription factors. Transcription factors usually bind to multiple target sequences and regulate multiple genes in a complex manner. Finding target genes for transcription factors at the genome level will lay a basis for the analysis of the gene regulatory network. We have been developing methods for predicting target sequences of transcription factors. Structure-based methods, which utilize structural data of protein-DNA complexes, are promising candidates for DNA target prediction. Here we apply this method to the target prediction of transcription factors in the whole yeast genome.
机译:许多生物的完整基因组序列已有可用,基因组的功能分析将是密集研究的目标。较高生物中的基因调节是最重要的生物学功能之一,并且达到了复杂的转录因子系统。转录因子通常与多个靶序列结合并以复杂的方式调节多种基因。针对基因组水平的转录因子发现靶基因将为基因调节网络分析的基础。我们一直在制定预测转录因子靶序列的方法。利用蛋白质-DNA复合物的结构数据的基于结构的方法是DNA靶预测的候选者。在这里,我们将该方法应用于整个酵母基因组中转录因子的目标预测。

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