Discovery of therapeutic targets and candidate therapies for cancer cachexia
We develop bioinformatics platforms that integrate diverse public omics data to identify therapeutic targets and predict candidate drugs for cancer cachexia.
- Yonsei University College of Dentistry (Prof. Nayoung Song), Korea Institute of Oriental Medicine (Dr. Aeyung Kim, Dr. No soo Kim), MOGAM Institute (Dr. Hanbi Lee, Dr. Ahyoung Choi, Dr. Hyunjin Shin)
- National Research Foundation of Korea (NRF) (2021-2026, RS-2021-NR061241)
Transcriptome-based drug repositioning for heart failure
We integrate large-scale public bulk and single-cell transcriptomic data from heart failure patients to develop computational approaches for drug repositioning and candidate discovery.
- Soongsil University (Prof. Junil Kim), Kyungpook National University (Prof. Inuk Jeong)
- National Research Foundation of Korea (NRF) (2024-2027, RS-2024-00440285)
Identification of reprogramming-inducing factors
We construct organ-specific single-cell transcriptome atlases derived from reprogramming-induced animal models and design computational algorithms to identify transcription factors and compounds that can induce cellular reprogramming.
- Seoul National University College of Pharmacy (Prof. Hyuk-Jin Cha), KRIBB (Dr. Mi-Ok Lee, Dr. Ok-Seon Kwon), Sungkyunkwan University (Prof. Ho-Chang Jeong)
- National Research Foundation of Korea (NRF) (2024-2031, RS-2024-00432867)
Development of AI models for drug efficacy evaluation in Type 1 Diabetes
We develop AI models that integrate clinical trial data and multi-omics information to evaluate therapeutic efficacy in type 1 diabetes. These models further contribute to the development of microphysiological systems (MPS) and digital twin platforms for precision drug response prediction.
- Pusan National University College of Pharmacy (Prof. Nakyung Jeon), KAIST (Prof. Sungyun Jeon), Korea University (Prof. Seunggyu Kim), Soongsil University (Prof. Yun-Gon Kim)
- National Research Foundation of Korea (NRF) (2025-2030, RS-2025-02283193)
Transcriptomic integration of herbal and conventional medicines
We develop web-based bioinformatics tools for comparative transcriptomic analysis of herbal medicine treatments and conventional drug therapies.
- Korea Institute of Oriental Medicine (Dr. Seongwon Cha), Chungnam National University (Prof. Sang-Min Park)
- Korea Institute of Oriental Medicine (2022-2027, KSN1722122)
Systems Biology Lab