Ingoo Lee, Ph.D. student
Computational Systems Biology Lab.
School of Electrical Engineering and Computer Science (EECS)
Gwangju Institute of Science and Technology (GIST)
123 Cheomdangwagi-ro, Buk-gu, Gwangju, 61005, Republic of Korea
Mobile : +82-10-4066-2979
Office : +82-62-715-2287
E-mail : email@example.com
Bioinformatics, Computational methods for drug discovery.
B.S. in Interdisciplinary Studies, Konkuk Univ., Seoul, Korea.
Publications (Peer Reviewed)
Ingoo Lee, Jongsoo Keum, Hojung Nam*, "DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences", PLoS Computational Biology 15(6): e1007129. https://doi.org/10.1371/journal.pcbi.1007129
Ingoo Lee, Hojung Nam*, "Identification of drug-target interaction by a random walk with restart method on an interactome network ", BMC Bioinformatics, 2018 19(Suppl 8):208.
Ingoo Lee, Jongsoo Keum, Hojung Nam*, “Identification of drug-target interaction via deep learning approach”, ISMB 2018, Chicago, Illinois, USA, July 6-10, 2018
Ingoo Lee, Hojung Nam* , “Identification of drug-target interactions by a random walk with restart method on an interactome network”, ACM 11th International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO 2017), Marina Square, Singapore, November 6, 2017
Ingoo Lee, Hojung Nam* , "Identification of drug-target interactions using weighted interactome network", RECOMB 2017, Hong Kong, China, May 3~7, 2017
Programming languages (Matlab, R, Python)
Pharmacological data processing (Protein sequence, chemical compound, 3D-complex)
Activities & Awards
2016 - 2020. Full government scholarship (Ph.D. program).