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Gwang Lee
Gwang Lee
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Autologous mesenchymal stem cell transplantation in stroke patients
OY Bang, JS Lee, PH Lee, G Lee
Annals of Neurology: Official Journal of the American Neurological ¡¦, 2005
14412005
Efficient Gene Activation in Mammalian Cells by Using Recombinant Adenovirus Expressing Site-Specific Cre Recombinase
Y Kanegae, G Lee, Y Sato, M Tanaka, M Nakal, T Sakaki, S Sugano, ...
Nucleic acid research 23 (19), 3816-3821, 1995
7251995
Aggresomes formed by ¥á-synuclein and synphilin-1 are cytoprotective
M Tanaka, YM Kim, G Lee, E Junn, T Iwatsubo, MM Mouradian
Journal of Biological Chemistry 279 (6), 4625-4631, 2004
5232004
Role of nucleotide sequences of loxP spacer region in Cre-mediated recombination
G Lee, S Isumu
Gene 216 (1), 55-65, 1998
4231998
Toll-like receptor signal transduction
J Krishnan, K Selvarajoo, M Tsuchiya, G Lee, S Choi
Experimental & molecular medicine 39 (4), 421-438, 2007
3752007
Neuroprotective effects of human mesenchymal stem cells on dopaminergic neurons through anti‐inflammatory action
YJ Kim, HJ Park, G Lee, OY Bang, YH Ahn, E Joe, HO Kim, PH Lee
Glia 57 (1), 13-23, 2009
2682009
Mesenchymal stem cells therapy exerts neuroprotection in a progressive animal model of Parkinson¡¯s disease
HJ Park, PH Lee, OY Bang, G Lee, YH Ahn
Journal of neurochemistry 107 (1), 141-151, 2008
2292008
Machine intelligence in peptide therapeutics: A next‐generation tool for rapid disease screening
S Basith, B Manavalan, T Hwan Shin, G Lee
Medicinal research reviews 40 (4), 1276-1314, 2020
2112020
mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation
B Manavalan, S Basith, TH Shin, L Wei, G Lee
Bioinformatics 35 (16), 2757-2765, 2019
2052019
Meta-4mCpred: a sequence-based meta-predictor for accurate DNA 4mC site prediction using effective feature representation
B Manavalan, S Basith, TH Shin, L Wei, G Lee
Molecular Therapy-Nucleic Acids 16, 733-744, 2019
1972019
MLACP: machine-learning-based prediction of anticancer peptides
B Manavalan, S Basith, TH Shin, S Choi, MO Kim, G Lee
Oncotarget 8 (44), 77121, 2017
1972017
Machine-learning-based prediction of cell-penetrating peptides and their uptake efficiency with improved accuracy
B Manavalan, S Subramaniyam, TH Shin, MO Kim, G Lee
Journal of proteome research 17 (8), 2715-2726, 2018
1702018
PVP-SVM: sequence-based prediction of phage virion proteins using a support vector machine
B Manavalan, TH Shin, G Lee
Frontiers in microbiology 9, 338653, 2018
1672018
Neuroprotective effect of nicotine on dopaminergic neurons by anti‐inflammatory action
HJ Park, PH Lee, YW Ahn, YJ Choi, G Lee, DY Lee, ES Chung, BK Jin
European Journal of Neuroscience 26 (1), 79-89, 2007
1662007
AIPpred: sequence-based prediction of anti-inflammatory peptides using random forest
B Manavalan, TH Shin, MO Kim, G Lee
Frontiers in pharmacology 9, 348997, 2018
1652018
HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation
MM Hasan, N Schaduangrat, S Basith, G Lee, W Shoombuatong, ...
Bioinformatics 36 (11), 3350-3356, 2020
1572020
iBCE-EL: a new ensemble learning framework for improved linear B-cell epitope prediction
B Manavalan, RG Govindaraj, TH Shin, MO Kim, G Lee
Frontiers in immunology 9, 388500, 2018
1542018
mACPpred: a support vector machine-based meta-predictor for identification of anticancer peptides
V Boopathi, S Subramaniyam, A Malik, G Lee, B Manavalan, DC Yang
International journal of molecular sciences 20 (8), 1964, 2019
1492019
Expression of pyruvate dehydrogenase kinase-1 in gastric cancer as a potential therapeutic target
H Hur, Y Xuan, YB Kim, G Lee, W Shim, J Yun, IH Ham, SU Han
International journal of oncology 42 (1), 44-54, 2013
1452013
Toll-like receptor modulators: a patent review (2006–2010)
S Basith, B Manavalan, G Lee, SG Kim, S Choi
Expert opinion on therapeutic patents 21 (6), 927-944, 2011
1412011
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