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김동혁

Kim, Donghyuk
Systems Biology and Machine Learning Lab.
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Elucidation of bacterial translation regulatory networks

Author(s)
Jeong, YujinShin, HyeonseokSeo, Sang WooKim, DonghyukCho, SuhyungCho, Byung-Kwan
Issued Date
2017-04
DOI
10.1016/j.coisb.2017.01.009
URI
https://scholarworks.unist.ac.kr/handle/201301/24280
Fulltext
https://www.sciencedirect.com/science/article/pii/S2452310017300343?via%3Dihub
Citation
CURRENT OPINION IN SYSTEM BIOLOGY, v.2, pp.84 - 90
Abstract
The translational regulatory network of bacteria is governed by diverse interaction between target mRNAs, regulatory RNAs, and cognate proteins. Advances in high-throughput sequencing techniques has helped in understanding the fundamental mechanisms behind translational regulation, including identification of a large number of regulatory small RNAs and antisense RNAs, and genome-wide binding locations of RNA-binding proteins. In this review, different mechanisms of translational regulation are described in the perspective of methods that allow the detection and generation of translational regulatory networks in a genome-wide manner. Furthermore, genome-wide data on translational regulation is the key to fill the gap between transcription and proteins and more importantly, develop more accurate in silico regulatory and metabolic network models.
Publisher
Elsevier
ISSN
2452-3100

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