Author

Kyung Hyuk Kim

University of WashingtonORCID 0000-0002-7191-9917Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1

Frequent Co-Authors

Herbert M. SauroiD· 3 shared Kiri ChoiiD· 2 shared V. Siddartha YerramilliiD· 2 shared Bennett K. Ng· 1 shared Bryan Bartley· 1 shared Timo R. Maarleveld· 1 shared

Activity by Year

2014-2018 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 8 mutual co-author links

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3 shared papersSynthetic Biology

Herbert M. SauroORCID

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4 papers

Recent·Most cited

Labeling RNAs in live cells using malachite green aptamer scaffolds as fluorescent probes

V. Siddartha Yerramilli, Kyung Hyuk Kim

The paper develops MGA scaffolds to enhance fluorescence signals for RNA labeling in live cells, achieving up to 20-fold brighter signals than baseline.

ACS Synthetic Biology · Mar 7, 2018Peer-reviewedSynthetic Biology

Context-Dependent Genetic Regulation

Kyung Hyuk Kim, V. Siddartha Yerramilli, Kiri Choi, Herbert M. Sauro

The paper shows that genetic regulation at the population level depends on cell-to-cell variability in regulatory factor concentrations and the 5' UTR of the regulator gene.

bioRxiv · Aug 9, 2017 · PreprintSynthetic Biology

Controlling E. coli gene expression noise

Kyung Hyuk Kim, Kiri Choi, Bryan Bartley, Herbert M Sauro

This paper controls E. coli gene expression noise by analyzing synthetic gene systems and identifying key factors influencing protein copy number variability.

IEEE Transactions on Biomedical Circuits and Systems · Aug 1, 2015Peer-reviewedSynthetic Biology

In Silico Design of Self-Optimizing Integrated Metabolic and Gene Regulatory Networks

Timo R. Maarleveld, Bennett K. Ng, Herbert M. Sauro, Kyung Hyuk Kim

This paper designs self-optimizing integrated metabolic and gene regulatory networks through in silico evolution to adapt to environmental changes.

bioRxiv · Aug 5, 2014 · PreprintBioengineering