Eunyoung Kim
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 : +82-10-9931-2124
Office : +82-62-715-2651
Research Areas
Bioinformatics, Cheminformatics, Computational drug discovery, Drug safety prediction
Education
Information and Communications, GIST, Gwangju, Korea.
Thesis: Model construction for predicting drug candidates by using machine learning algorithms
Advisor: Prof. Hojung Nam
Computer Science, Sejong Univ., Seoul, Korea
Publications (Peer Reviewed)
Hyunho Kim, Eunyoung Kim, Ingoo Lee, Bongsung Bae, Minsu Park, Hojung Nam*, " Artificial Intelligence in Drug Discovery: A Comprehensive Review of Data-Driven and Machine Learning Approaches", Biotechnology and Bioprocess Engineering, Accepted.
Eunyoung Kim, A-sol Choi, Hojung Nam*, "Drug repositioning of herbal compounds via a machine-learning approach", BMC Bioinformatics, 2019 20 (Suppl 10) :247.
Eunyoung Kim, Hojung Nam*, "Prediction models for drug-induced hepatotoxicity by using weighted molecular fingerprints", BMC Bioinformatics, 2017, 18(Suppl 7):227.
Conferences/Presentations
Patents
약물로 인한 간독성 유발 예측 모델, 남호정, 김은영, 2018-0057399, 2018, Korea (출원)
Skills
Programming languages (Python, Matlab, R)
Machine learning and Deep learning skills (Keras, Scikit-learn, MultiProcessing, etc.)
Database management (MySQL, PostgreSQL)
Activities & Awards
2016 - 2020. Full government scholarship (Ph.D. program)
2014 - 2015. Full government scholarship (M.S. program)
GUP(Global University Project) Scholarship in GIST, 2017
BIOINFO 2016, Korean Society for Bioinformatics and System Biology, best poster award
Eunyoung Kim, A-sol Choi, Hojung Nam*, “Drug Repositioning of Herbal Compounds via a Machine-Learning Approach”, ACM 12th International Workshop on Data and Text Mining in Biomedical Informatics, Turin, Italy, October 22-26, 2018
Eunyoung Kim, A-sol Choi, Hojung Nam*, "Drug repositioning for natural products using machine learning approaches", RECOMB 2018, Paris, France, April 19~24, 2018 (poster)
Eunyoung Kim, Hojung Nam*, "Prediction of drug-drug interactions using molecular structure information and link prediction approaches", ISMB/ECCB 2017, Prague Congress Center, Czech Republic, July 21~25, 2017 (poster)
Eunyoung Kim, Hojung Nam*, "Prediction models for drug-induced liver injury using substructure information", The 13th KOGO Winter Symposium 2017, Hongcheon, Korea, Feb 8~10, 2017 (poster)
Eunyoung Kim, Hojung Nam*, "Developing prediction model for drug-induced liver injury by using substructure information" BIOINFO 2016, Incheon, Korea, Aug, 17~19, 2016 (poster, best poster award)
Eunyoung Kim, Sangwoo Kim, Suhyun Ha, Hojung Nam*, "Developing compound toxicity classification models using physicochemical properties and structure information", The 14th Asia Pacific Bioinformatics Conference, San Francisco Bay Area, United States, Jan 11-13, 2016 (poster)
Eunyoung Kim, Sangwoo Kim, Suhyun Ha, Hojung Nam*, "Toxicity Predictions using Compound Descriptions", the ACM 9th International Workshop on Data and Text Mining in Bioinformatics, Melbourne, Australia, Oct. 23, 2015 (poster)
M.S.
B.S.
Address
Phone
2018
2017
2016
2015