Papers

Junghyun Lee†, Yun Min Song†, Hwi-yeol Yun, Suein Choi*, Jae Kyoung Kim, Beyond Michaelis- Menten: A Modified Enzyme Kinetics Equation Improves Drug Metabolism Prediction in Bottom-Up PBPK Modeling

Eui Min Jeong†, Chang Yoon Chung, Jae Kyoung Kim*, How cells tame noise while maintaining ultrasensitive transcriptional responses

Le Na Lau†, Jun-Ho Cho, Seok Joo Chae, Ung-Gyu Kim, Jae Kyoung Kim*, In-Sung Luke Yeo*, Immune-Metabolic Regulation of Early Osseointegration: Insights from Untargeted RNA Sequencing

Sunyoung Lee†, Seok Joo Chae†, In-Hwan Jang, Ji Hyun Kim, Jae Kyoung Kim*, and Tae-Don Kim*, Stress-induced self recognition by Natural Killer cells does not require HLA Class I, Submitted

Dongju Lim †, Seokhwan Moon †, Yun Min Song, Jinyeong Kim, Kangsan Kim, Byung-Kwan Cho, Jinsu Kim*, Jae Kyoung Kim*, Toward Single-Cell Control: Noise-Robust Perfect Adaptation in Biomolecular Systems, Submitted

Myna Lim†, Sewon Kim†, Saebom Jeon, Eui Min Jeong*, Jae Kyoung Kim*, Seockhoon Chung*, Machine learning approached a 14-item shortened version of the Positive and Negative Sleep Appraisal Measure (PANSAM-14)

Hwang Gyuyoung †, Jo Hyeontae*,  Kim Jae Kyoung*, Data-Driven Inference of Coupling Functions in Oscillatory Systems via Physics-Informed Neural Networks

Brenda Lyn Gavina†, Taeyong Lee , Olive Cawiding, Sunhwa Choi , Sungwook Choi, Soyoung Kim*, Jae Kyoung Kim*, Optimizing oral contraceptive timing: Morning intake reduces doses and enhances efficacy

Sanghyeok Park†, Dae Wook Kim†, Hyun Kim, Joonho Byun, Sangjoon Chong, Sang Woo Song, Young-Hoon Kim, Young Hyun Cho, Seok Ho Hong, Chang-Ki Hong, Jeong Hoon Kim, Seungjoo Lee*, Jae Kyoung Kim*, Ji Min Lee, Effect of tumor resection time-of-day on overall survival of patients with glioblastoma multiforme and a circadian-regulated tumor microenvironment: an observational cohort study

Seok Joo Chae†, Johanna Inhyang Kim†, Hyeontae Jo, Yun Min Song, Saebom Jeon, Sun-Young Moon, Ji-Hye Lee, Sohee Oh, Seockhoon Chung, Jae Kyoung Kim*, Jeong-Hyun Kim*, Identifying risk factors of PTSD among a nationwide cohort of firefighters using a machine learning algorithm