Research
Research Interests
1.Various Clinical Omics Studies & Precision Medicine
Next-generation sequencing (NGS)-based mutation analysis to reveal genomic landscapes or SNP markers of diseases
Transcriptome analysis for identifying gene expression markers of diseases
Pharmacogenomics study: Developing computational models to predict drug responses based on various types of markers
Single-cell RNA-seq analysis
Metagenome analysis, including microbiome, mycobiome, and environmental metagenome
2. In Silico Drug Discovery
Structure-based virtual screening
Machine learning-based quantitative structure-activity relationship (QSAR)
Utilization of inverse virtual screening scores as protein properties
Prediction of drug sensitivity
Prediction of drug targets for compounds
3. Development of Prediction Models and Algorithms for Various Bioinformatics Issues
Creating pipelines to analyze tRNA expression profiles based on small RNA-seq, such as miRNA-seq
Developing pipelines to analyze WGS data of S.pneumoniae and web service
4. Manipulating and Improving Genome-wide Deletion Library of Fission Yeast (S. pombe) as a Tool for Rapid Identification of Compound Modes of Action
Funded projects
In progress
Korea Health Industry Development Institute (KHIDI, HI22C0117000123), "Development of a pipeline analyzing serotypes of S. pneumoniae based on genomonics data" 100M, KRW, Apr 2022 - Dec 2023, Role: Principal Investigator
National Research Foundation of Korea (NRF-2022R1A2C2093050), "Validation and Improvement of Machine Learning Models Predicting Effects of Anti-Cancer Drugs based on Single Cell RNA-Seq data analysis of Patient-derived Organoids", 894M KRW, Sep 2022 - Feb 2027, Role: Principal Investigator
Completed
National Research Foundation of Korea (NRF-2020M3C9A5086379), "Construction of pipeline to infer tRNA profiles and related analysis based on small RNA sequencing data stored in Korean public databases" 300M KRW, Jul 2020 - Dec 2021, Role: Principal Investigator
National Research Foundation of Korea (NRF-2017M3A9B6061511), "Development of smart analysis pipeline of clinico-genomic data and drug target identification system" 690M KRW, Jun 2017 - Jun 2022, Role: Principal Investigator
National Research Foundation of Korea (NRF-2017R1C1B2008617), "Development of the prediction model for variant-specific in vitro anticancer drug sensitivity using machine learning techniques" 400M KRW, Mar 2017 - Feb 2022, Role: Principal Investigator
National Research Foundation of Korea (NRF-2017M3A9B6061511), "Analysis of mutual interference of genes in S.pombe deletion library" 297.5M KRW, Jun 2017 - Jun 2023, Role: Principal Investigator
National Research Foundation of Korea (NRF-2020R1A4A3079570), "Discovery of biomarkers and therapeutic targets using deep learning based multi-omics for intractable aortic valve calcified disease" 1,333M KRW, Jul 2020- Feb 2023, Role: Co-investigator (PI: Min-Ho Oak, Mokpo National University)
National Research Foundation of Korea (NRF-2017M3C9A6047615), "Open BIT integrative education program to produce genomics based precision medicine big-data analysis specialist" 961M KRW, Jun 2017 - Feb 2022, Role: Co-investigator (PI: Yeun-Jun Chung, The Catholic University of Korea School of Medicine)
National Research Foundation of Korea (NRF-2014R1A1A2058647), "Construction of large-scale reverse docking profiles and application to prediction of protein function, druggability, and protein-protein interaction" 117M KRW, Nov 2014 - Apr 2017, Role: Principal Investigator
National Research Foundation of Korea (NRF-2015M3C7A1064778), "Discovery of genetic variation markers specific to internet·game addiction in blood samples" 1,090M KRW, Oct 2015 - Sep 2019, Role: Co-investigator (PI: Yeun-Jun Chung, The Catholic University of Korea School of Medicine)
National Research Foundation of Korea (NRF-2015M3C9A4053389), "Interdisciplinary BIT education program to produce clinico-genomic big-data analysis specialist" 512M KRW, Sep 2015 - Nov 2017, Role: Co-investigator (PI: Yeun-Jun Chung, The Catholic University of Korea School of Medicine)