InGoo Lee

Name

Ingoo Lee, Ph.D. student

Contact Information

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 : dlsrnsladlek@gist.ac.kr

Research Areas

Bioinformatics, Computational methods for drug discovery.

Education

​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.

Conferences/Presentations

  • 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

Skills

  • ​Programming languages (Matlab, R, Python)

  • Server management

  • Pharmacological data processing (Protein sequence, chemical compound, 3D-complex)

  • Deep learning

Activities & Awards

  • ​2016 - 2020. Full government scholarship (Ph.D. program).