Quantitative Design of Regulatory Elements Based on High-Precision Strength Prediction Using Artificial Neural Network

@inproceedings{Meng2013QuantitativeDO,
  title={Quantitative Design of Regulatory Elements Based on High-Precision Strength Prediction Using Artificial Neural Network},
  author={Hailin Meng and Jianfeng Wang and Zhiqiang Xiong and Feng Xu and Guo-Ping Zhao and Yong Wang},
  booktitle={PloS one},
  year={2013}
}
Accurate and controllable regulatory elements such as promoters and ribosome binding sites (RBSs) are indispensable tools to quantitatively regulate gene expression for rational pathway engineering. Therefore, de novo designing regulatory elements is brought back to the forefront of synthetic biology research. Here we developed a quantitative design method for regulatory elements based on strength prediction using artificial neural network (ANN). One hundred mutated Trc promoter & RBS sequences… CONTINUE READING
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