Thermodynamics-Based Models of Transcriptional Regulation with Gene Sequence
Wang Shuqiang; Shen Yanyan; Hu Jinxing
刊名Bioprocess and Biosystems Engineering
2015
英文摘要Quantitative models of gene regulatory activity have the potential to improve our mechanistic understanding of transcriptional regulation. However, the few models available today have been based on simplistic assumptions about the sequences being modeled or heuristic approximations of the underlying regulatory mechanisms. In this work, we have developed a thermodynamics-based model to predict gene expression driven by any DNA sequence. The proposed model relies on a continuous time, differential equation description of transcriptional dynamics. The sequence features of the promoter are exploited to derive the binding affinity which is derived based on statistical molecular thermodynamics. Experimental results show that the proposed model can effectively identify the activity levels of transcription factors and the regulatory parameters. Comparing with the previous models, the proposed model can reveal more biological sense.
收录类别SCI
原文出处http://link.springer.com/article/10.1007%2Fs00449-015-1484-6
语种英语
内容类型期刊论文
源URL[http://ir.siat.ac.cn:8080/handle/172644/6861]  
专题深圳先进技术研究院_数字所
作者单位Bioprocess and Biosystems Engineering
推荐引用方式
GB/T 7714
Wang Shuqiang,Shen Yanyan,Hu Jinxing. Thermodynamics-Based Models of Transcriptional Regulation with Gene Sequence[J]. Bioprocess and Biosystems Engineering,2015.
APA Wang Shuqiang,Shen Yanyan,&Hu Jinxing.(2015).Thermodynamics-Based Models of Transcriptional Regulation with Gene Sequence.Bioprocess and Biosystems Engineering.
MLA Wang Shuqiang,et al."Thermodynamics-Based Models of Transcriptional Regulation with Gene Sequence".Bioprocess and Biosystems Engineering (2015).
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