Quantitative design of regulatory elements based on high-precision strength prediction using artificial neural network.

Quantitative design of regulatory elements based on high-precision strength prediction using artificial neural network.

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 biolog...

Full description

Bibliographic Details
Main Authors: Hailin Meng, Jianfeng Wang, Zhiqiang Xiong, Feng Xu, Guoping Zhao, Yong Wang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3613377?pdf=render

Internet

http://europepmc.org/articles/PMC3613377?pdf=render

Similar Items