J. Ryu

发表

Expanded synthetic small regulatory RNA expression platforms for rapid and multiplex gene expression knockdown.

S. Lee, Changdai Gu, Dongsoo Yang, 2019, Metabolic engineering.

Occurrence, evolution, and functions of DNA phosphorothioate epigenetics in bacteria

Jae Yong Ryu, Sang Yup Lee, Zixin Deng, 2018, Proceedings of the National Academy of Sciences.

Genomic and metabolic analysis of Komagataeibacter xylinus DSM 2325 producing bacterial cellulose nanofiber

S. Lee, H. Kim, T. Kim, 2019, Biotechnology and bioengineering.

Reconstruction of context-specific genome-scale metabolic models using multiomics data to study metabolic rewiring

Jae Yong Ryu, Sang Yup Lee, Jae Sung Cho, 2019, Current Opinion in Systems Biology.

A competitive peptide inhibitor KIDARI negatively regulates HFR1 by forming nonfunctional heterodimers in Arabidopsis photomorphogenesis

Chung-Mo Park, P. Seo, J. Ryu, 2013, Molecules and cells.

KR-39038, a Novel GRK5 Inhibitor, Attenuates Cardiac Hypertrophy and Improves Cardiac Function in Heart Failure

K. Yi, J. H. Lee, H. Seo, 2020, Biomolecules & therapeutics.

Human genes with a greater number of transcript variants tend to show biological features of housekeeping and essential genes.

S. Lee, H. Kim, J. Ryu, 2015, Molecular bioSystems.

Targeted inactivation of transcription factors by overexpression of their truncated forms in plants.

I. Baldwin, Chung-Mo Park, Sang-Gyu Kim, 2012, The Plant journal : for cell and molecular biology.

Probing protein structural requirements for activation of membrane-bound NAC transcription factors in Arabidopsis and rice

Chung-Mo Park, Sang-Gyu Kim, Sangmin Lee, 2010 .

The floral repressor BROTHER OF FT AND TFL1 (BFT) modulates flowering initiation under high salinity in Arabidopsis

Chung-Mo Park, P. Seo, J. Ryu, 2011, Molecules and cells.

The Arabidopsis floral repressor BFT delays flowering by competing with FT for FD binding under high salinity.

Jae-Hoon Jung, Chung-Mo Park, P. Seo, 2014, Molecular plant.

Reconstruction of genome-scale human metabolic models using omics data.

Jae Yong Ryu, Hyun Uk Kim, Sang Yup Lee, 2015, Integrative biology : quantitative biosciences from nano to macro.

SPL3/4/5 Integrate Developmental Aging and Photoperiodic Signals into the FT-FD Module in Arabidopsis Flowering.

Jae-Hoon Jung, Chung-Mo Park, J. Ryu, 2016, Molecular plant.

Systems approach to characterize the metabolism of liver cancer stem cells expressing CD133

H. Kim, W. Hur, S. Yoon, 2017, Scientific Reports.

High temperature attenuates the gravitropism of inflorescence stems by inducing SHOOT GRAVITROPISM 5 alternative splicing in Arabidopsis.

Chung-Mo Park, J. Ryu, Joo-Young Kim, 2016, The New phytologist.

Identification and New Indication of Melanin-Concentrating Hormone Receptor 1 (MCHR1) Antagonist Derived from Machine Learning and Transcriptome-Based Drug Repositioning Approaches

Kaichao You, J. Ryu, B. Lee, 2022, International journal of molecular sciences.

Identification of new target proteins of a Urotensin-II receptor antagonist using transcriptome-based drug repositioning approach

J. H. Lee, J. Ryu, B. Lee, 2021, Scientific Reports.

Deep learning improves prediction of drug–drug and drug–food interactions

Jae Yong Ryu, Hyun Uk Kim, Sang Yup Lee, 2018, Proceedings of the National Academy of Sciences.

Modulation of sugar metabolism by an INDETERMINATE DOMAIN transcription factor contributes to photoperiodic flowering in Arabidopsis.

Chung-Mo Park, P. Seo, J. Ryu, 2011, The Plant journal : for cell and molecular biology.

Production of ethylene glycol from xylose by metabolically engineeredEscherichia coli

Jae Yong Ryu, Sang Yup Lee, Tong Un Chae, 2018, AIChE Journal.

Molecular and functional characterization of cold-responsive C-repeat binding factors from Brachypodium distachyon

Chung-Mo Park, Sangmin Lee, J. Ryu, 2014, BMC Plant Biology.

Identification and characterization of circadian clock genes in a native tobacco, Nicotiana attenuata

I. Baldwin, Chung-Mo Park, Sang-Gyu Kim, 2012, BMC Plant Biology.

LightBBB: computational prediction model of blood-brain-barrier penetration based on LightGBM

Jae Yong Ryu, Myeong-Sang Yu, Bilal Shaker, 2020, Bioinform..

Deep learning enables high-quality and high-throughput prediction of enzyme commission numbers

Jae Yong Ryu, Hyun Uk Kim, Sang Yup Lee, 2019, Proceedings of the National Academy of Sciences.

The miR-19a/b family positively regulates cardiomyocyte hypertrophy by targeting atrogin-1 and MuRF-1.

Jin Ock Kim, D. H. Kim, J. Ryu, 2014, The Biochemical journal.

DeepHIT: a deep learning framework for prediction of hERG-induced cardiotoxicity

Jae Yong Ryu, Byung Ho Lee, Mi Young Lee, 2020, Bioinform..

A deep learning approach to evaluate the feasibility of enzymatic reactions generated by retrobiosynthesis

S. Lee, H. Kim, W. Jang, 2021, Biotechnology journal.

A systems approach to traditional oriental medicine

Jae Yong Ryu, Hyun Uk Kim, Sang Yup Lee, 2015, Nature Biotechnology.

Targeted and high-throughput gene knockdown in diverse bacteria using synthetic sRNAs

Jae Sung Cho, H. Kim, Dongsoo Yang, 2023, Nature communications.

Two splice variants of the IDD14 transcription factor competitively form nonfunctional heterodimers which may regulate starch metabolism.

Mi Jung Kim, Chung-Mo Park, P. Seo, 2011, Nature communications.

Adaptive thermal control of stem gravitropism through alternative RNA splicing in Arabidopsis

Chung-Mo Park, J. Ryu, Joo-Young Kim, 2015, Plant signaling & behavior.

Molecular and functional characterization of cold-responsive C-repeat binding factors from Brachypodium distachyon

Chung-Mo Park, Sangmin Lee, J. Ryu, 2014, BMC Plant Biology.

PredMS: a random Forest model for predicting metabolic stability of drug candidates in human liver microsomes.

J. H. Lee, Sunjoo Ahn, J. Ryu, 2021, Bioinformatics.

Framework and resource for more than 11,000 gene-transcript-protein-reaction associations in human metabolism

Jae Yong Ryu, Hyun Uk Kim, Sang Yup Lee, 2017, Proceedings of the National Academy of Sciences.

Rational Design of Metabolic Pathway for the Production of Fumaric Acid

Jae Yong Ryu, Sang Yup Lee, Chan Woo Song, 2014 .

Revisiting Statistical Design and Analysis in Scientific Research.

Jae Yong Ryu, Sang Yup Lee, Kyeong Rok Choi, 2018, Small.

Genome-scale Reconstruction of the metabolic network

S. Lee, J. Ryu, S. Shon, 2013 .

Bacterial cellulose as an example product for sustainable production and consumption

Jae Yong Ryu, Hyun Uk Kim, Sang Yup Lee, 2017, Microbial biotechnology.

PredAOT: a computational framework for prediction of acute oral toxicity based on multiple random forest models

W. Jang, J. Ryu, K. Oh, 2023, BMC Bioinformatics.

The floral repressor BROTHER OF FT AND TFL1 (BFT) modulates flowering initiation under high salinity in Arabidopsis

Chung-Mo Park, P. Seo, J. Ryu, 2011, Molecules and cells.

A competitive peptide inhibitor KIDARI negatively regulates HFR1 by forming nonfunctional heterodimers in Arabidopsis photomorphogenesis

Chung-Mo Park, P. Seo, J. Ryu, 2013, Molecules and cells.

The Arabidopsis floral repressor BFT delays flowering by competing with FT for FD binding under high salinity.

Jae-Hoon Jung, Chung-Mo Park, P. Seo, 2014, Molecular Plant.

Reconstruction of genome-scale human metabolic models using omics data.

S. Lee, H. Kim, J. Ryu, 2015, Integrative biology : quantitative biosciences from nano to macro.

Framework and resource for more than 11,000 gene-transcript-protein-reaction associations in human metabolism

H. Kim, J. Ryu, Sang Yup Lee, 2017, Proceedings of the National Academy of Sciences.

Genome-wide identification of overexpression and downregulation gene targets based on the sum of covariances of the outgoing reaction fluxes.

H. Kim, W. Kim, J. Ryu, 2023, Cell systems.

The molecular interaction of heart LIM protein (HLP) with RyR2 and caveolin-3 is essential for Ca(2+)-induced Ca(2+) release in the heart.

D. H. Kim, J. Ryu, D. Song, 2015, Biochemical and biophysical research communications.