Young-Mook Kang
Young-Mook Kang
Korea Research Institute of Chemical Technology, Daejeon, Korea
Verified email at - Homepage
Cited by
Cited by
In vivo high-throughput profiling of CRISPR–Cpf1 activity
HK Kim, M Song, J Lee, AV Menon, S Jung, YM Kang, JW Choi, E Woo, ...
Nature methods 14 (2), 153-159, 2017
Transcriptional regulation of the human GD3 synthase gene expression in Fas-induced Jurkat T cells: a critical role of transcription factor NF-κB in regulated expression
Y Kang, SK Kang, YC Lee, HJ Choi, YS Lee, SY Cho, YS Kim, JH Ko, ...
Glycobiology 16 (5), 375-389, 2006
Human nephrotoxicity prediction models for three types of kidney injury based on data sets of pharmacological compounds and their metabolites
S Lee, YM Kang, H Park, MS Dong, JM Shin, KT No
Chemical research in toxicology 26 (11), 1652-1659, 2013
A robust method for searching the smallest set of smallest rings with a path-included distance matrix
CJ Lee, YM Kang, KH Cho, KT No
Proceedings of the National Academy of Sciences 106 (41), 17355-17358, 2009
Predicting ADME properties of chemicals
HK Shin, YM Kang, KT No
Handbook of Computational Chemistry, 2265-2301, 2016
Machine learning classifies core and outer fucosylation of N-glycoproteins using mass spectrometry
H Hwang, HK Jeong, HK Lee, GW Park, JY Lee, SY Lee, YM Kang, HJ An, ...
Scientific reports 10 (1), 1-10, 2020
A generalized G-SFED continuum solvation free energy calculation model
S Lee, KH Cho, YM Kang, HA Scheraga, KT No
Proceedings of the National Academy of Sciences 110 (8), E662-E667, 2013
Quantitative Structure Relative Volatility Relationship Model for Extractive Distillation of Ethylbenzene/p-Xylene Mixtures
YM Kang, Y Jeon, G Lee, H Son, SW Row, S Choi, YJ Seo, YH Chu, ...
Industrial & Engineering Chemistry Research 53 (27), 11159-11166, 2014
Quantitative Structure–Relative Volatility Relationship Model for Extractive Distillation of Ethylbenzene/p‐Xylene Mixtures: Application to Binary and Ternary …
YM Kang, Y Jeon, SB Hwang, HK Shin, K Oh, MS Kim, N Kim, H You, ...
Bulletin of the Korean Chemical Society 37 (4), 548-555, 2016
Computational classification of core and outer fucosylation of N‐glycoproteins in human plasma using collision‐induced dissociation in mass spectrometry
HK Jeong, H Hwang, YM Kang, HK Lee, GW Park, JY Lee, DG Kim, ...
Rapid Communications in Mass Spectrometry 34 (23), e8917, 2020
Author Correction: Machine Learning Classifies Core and Outer Fucosylation of N-Glycoproteins Using Mass Spectrometry
H Hwang, HK Jeong, HK Lee, GW Park, JY Lee, SY Lee, YM Kang, HJ An, ...
Scientific reports 10 (1), 1-1, 2020
PMFF: Development of a Physics-Based Molecular Force Field for Protein Simulation and Ligand Docking
SB Hwang, CJ Lee, S Lee, S Ma, YM Kang, KH Cho, SY Kim, OY Kwon, ...
The Journal of Physical Chemistry B 124 (6), 974-989, 2020
SAAVpedia: Identification, Functional Annotation, and Retrieval of Single Amino Acid Variants for Proteogenomic Interpretation
SY Lee, H Hwang, YM Kang, H Kim, DG Kim, JE Jeong, JY Kim, JS Yoo
Journal of proteome research 18 (12), 4133-4142, 2019
Web based IQ-GPA Cloud Computing System for Glycoproteomics
YM Kang, GW Park, HK Lee, JY Lee, JY Kim, JS Yoo
한국당과학회 학술대회, 57-57, 2018
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