本文采用二阶z变换对转录因子结合位点序列进行建模。
This paper models transcription factor binding sites (TFBS) using two-step Z transform.
因此识别转录因子结合位点成为构建转录调控网络的第一步。
Transcription regulation proteins must bind to these sequences in order to regulate the transcription of the gene.
目的：预测人类BMP - 2基因启动子位置和可能的转录因子结合位点。
Objective: to predict the promotor position and transcription factor binding sites of human BMP-2 gene.
目前，已经有大量的方法用于识别转录因子结合位点，大致可分为基于保守模体和比较基因组学两种方法。
There are a large number of methods for identifying transcription factor binding sites, and it can be divided into two ways: conservative motif based and comparative genomics.
转录因子与其结合位点的结合具有高度的专一性。
The union of the transcription factor and corresponding binding sites has the high specificity.
特别地，转录被转录因子和它们相应的结合位点的相互作用所调控。
In particular, transcription is modulated by the interaction of transcription factors with their corresponding binding sites.
据报道，突变的p 53可以与其他转录因子相互作用，并且被招募到它们的结合位点以调节它们靶基因的表达。
It has been reported that mutant p53 can interact with other transcription factors and be recruited to their binding sites to modulate the expression of their target genes.
据报道，突变的p 53可以与其他转录因子相互作用，并且被招募到它们的结合位点以调节它们靶基因的表达。
It has been reported that mutant p53 can interact with other transcription factors and be recruited to their binding sites to modulate the expression of their target genes.
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