PUBLICATIONS
† Equal contributors
* Corresponding author(s)
Names in bold letters: BMIL members
Ongoing Papers
- Sun-woo Jung, Sunyong Yoo*. Predicting Drug-Drug Interactions via Document Embedding on biomedical literature (in prep.)
- Dohyeon Lee, Sunyong Yoo*, hERGAT: Predicting hERG blockers using graph attention mechanism through atom- and molecule-level interaction analysis (in prep.)
- Longitudinal Study for Children with Disability (in prep.)
Peer Reviewed Journals (2022-Current)
- Soyeon Lee, Sunyong Yoo* (2024). InterDILI: interpretable prediction of drug-induced liver injury through permutation feature importance and attention mechanism. Journal of Cheminformatics, 16(1),1.
- Myeonghyeon Jeong, Sunyong Yoo* (2024). FetoML: Interpretable prediction of fetotoxicity of drugs based on machine learning approaches (Accepted). Molecular Informatics.
- Sunyong Yoo†, Myeonghyeon Jeong†, Subhin Seomun, Kiseong Kim, Youngmahn Han* (2024). Interpretable Prediction of SARS-CoV-2 Epitope-specific TCR Recognition Using a Pre-Trained Protein Language Model. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 1-13.
- Suyeon Kim, Dong Young Kim, Je Won Park, Shinwook Kim, Seungchan Lee, Han Seung Jang, Jinseok Park, Sunyong Yoo*, Myoung Jin Lee* (2024). Passing Word Line-induced Subthreshold Leakage Reduction Using a Partial Insulator in a Buried Channel Array Transistor. IEEE Transactions on Electron Devices, 71(5), 2976-2982
- Sunyong Yoo, Ja young Choi, Shinseong Yang, Seong-Eun Koh, Yun-chol Jang, Myeong-Hyeon Jeong, Min-Keun Song* (2023). Medical Service Utilization by Children with Physical or Brain Disabilities in South Korea. BMC Pediatrics, 23, 487.
- Jinmyung Jung, Sunyong Yoo* (2023). Identification of breast cancer metastasis markers using machine learning approaches with gene expression profiles. Genes, 14(9), 1820.
- Sang-Yun Lee†, Soyeon Lee†, Myeonghyeon Jeong, Sunwoo Jung, Myoung Jin Lee, Sunyong Yoo* (2022). The relationship between nutrient intake and cataracts in the older adult population of Korea. Nutrients, 14(23), 4962.
- Seonwoo Jung†, Min-Keun Song†, Eunjoo Lee, Sejin Bae, Yeon-Yong Kim, Doheon Lee, Myoung Jin Lee*, Sunyong Yoo* (2022). Predicting Ischemic Stroke in Patients with Atrial Fibrillation Using Machine Learning. Front. Biosci. (Landmark Ed), 27(3), 080.
- Jin Hyo Park, Su Yeon Kim, Dong Young Kim, Geon Kim, Je Won Park, Sunyong Yoo, Young-woo Lee*, Myoung Jin Lee* (2022). Row Hammer Reduction Using a Buried Insulator in a Buried Channel Array Transistor. IEEE Transactions on Electron Devices, 69(12), 6710-6716.
Peer Reviewed Journals (2020-2021)
- Jinmyung Jung, Yongdeuk Hwang, Hongryul Ahn, Sunjae Lee*, Sunyong Yoo* (2021). Precise characterization of genetic interactions in cancer by refining process on molecular networks. International Journal of Molecular Sciences, 22(20), 11114.
- Sunyong Yoo†, Dong-Wook Kim†, Young-Eun Kim, Jong Heon Park, Yeon-Yong Kim, Kyu-dong Cho, Mi-Ji Gwon, Jae-In Shin, Eun-Joo Lee* (2021). Data Resource Profile: the Allergic Disease Database of the Korean National Health Insurance Service. Epidemiology and health, e2021010.
- Hyeonseo Yun†, Dong-Wook Kim†, Eun-Joo Lee, Jinmyung Jung*, Sunyong Yoo* (2021). Analysis of the Effects of Nutrient Intake and Dietary Habits on Depression in Korean Adults. Nutrients, 13(4), 1360.
- Jin Hyo Park, Geon Kim, Dong Yeong Kim, Su Yeon Kim, Sunyong Yoo*, Myoung Jin Lee* (2021). S-TAT Leakage Current in Partial Isolation Type Saddle-FinFET (Pi-FinFET)s. IEEE Access, 9, 111567.
- Kiseong Kim†, Sunyong Yoo*,†, Sangyeon Lee, Doheon Lee*, Kwang-Hyung Lee* (2021). Network Analysis to Identify the Risk of Epidemic Spreading. Applied Sciences, 11(7), 2997.
- Zaki Masood, Hosung Park, Han Seung Jang, Sunyong Yoo, Sokhee P. Jung, Yonghoon Choi* (2021). Optimal Power Allocation for Maximizing Energy Efficiency in DAS-Based IoT Network. IEEE Systems Journal, 15(2). 2342-2348.
- Sunyong Yoo†, Hyung Chae Yang†, Seongyeong Lee, Jaewook Shin, Seyoung Min, Eunjoo Lee, Minkeun Song*, Doheon Lee* (2020). A Deep Learning-Based Approach for Identifying the Medicinal Uses of Plant-derived Natural Compounds. Frontiers in Pharmacology, 11, 2019.
- Junseok Park, Seongkuk Park, Kwangmin Kim, Woochang Hwang, Sunyong Yoo, Gwan-su Yi, Doheon Lee* (2020). An interactive retrieval system for clinical trial studies with context-dependent protocol elements. PloS one, 15(9), e0238290.
- Junseok Park, Seongkuk Park, Gwangmin Kim, Kwangmin Kim, Jaegyun Jung, Sunyong Yoo, Gwan-Su Yi, Doheon Lee* (2020). Reliable Data Collection in Participatory Trials to Assess Digital Healthcare Applications. IEEE Access, 8, 79472-79490.
Peer Reviewed Journals (~2019)
- Sunyong Yoo, Kwansoo Kim, Hojung Nam*, Doheon Lee* (2018). Discovering health benefits of phytochemicals with integrated analysis of the molecular network, chemical properties and ethnopharmacological evidence. Nutrients, 10(8), 1042.
- Sunyong Yoo, Hojung Nam*, Doheon Lee* (2018). Phenotype-oriented network analysis for discovering pharmacological effects of natural compounds. Scientific reports, 8(1), 1-9.
- Sunyong Yoo†, Suhyun Ha†, Moonshik Shin, Kyungrin Noh, Hojung Nam*, Doheon Lee* (2018). A Data-Driven Approach for Identifying Medicinal Combinations of Natural Products. IEEE Access, 6, 58106-58118.
- Sunyong Yoo, Kyungrin Noh, Moonshik Shin, Junseok Park, Kwang-Hyung Lee*, Hojung Nam*, Doheon Lee* (2018). In silico profiling of systemic effects of drugs to predict unexpected interactions. Scientific reports, 8(1), 1-15.
- Kyungrin Noh†, Sunyong Yoo†, Doheon Lee* (2018). A systematic approach to identify therapeutic effects of natural products based on human metabolite information. BMC bioinformatics, 19(8), 205.
- Sunyong Yoo, Moonshik Shin, Doheon Lee* (2012). An approach to reducing information loss and achieving diversity of sensitive attributes in k-anonymity methods. Interactive journal of medical research, 1(2), e14.
- Jongsoo Keum, Sunyong Yoo, Doheon Lee, Hojung Nam* (2016). Prediction of compound-target interactions of natural products using large-scale drug and protein information. BMC bioinformatics, 17(6), 219.
International Conferences
- Dohyeon Lee, Sunyong Yoo* (2023, December). hERGAT: Predicting hERG blockers using graph attention mechanism through atom- and molecule- level interaction analysis. In 17th International Conference on Data and Text Mining in Biomedical Informatics(DTMBIO) (pp.19)
- Myeonghyeon Jeong, Sunyong Yoo* (2023, December). FetoML: Interpretable predictions of the fetotoxicity of drugs based on machine learning approaches. In 17th International Conference on Data and Text Mining in Biomedical Informatics(DTMBIO) (pp.20)
- Myeonghyeon Jeong, Sangjin Kim, Yewon Han, Jihyun Jeong, Dahwa Jung, Inyoung Choi, Sunyong Yoo* (2022, November). Attention-based Deep Neural Network for Predicting Fetotoxicity. In the 10th International Conference on Big Data Applications and Services (pp. 137-138).
- Moonshik Shin, Sunyong Yoo, Suhyun Ha, Kyungrin Noh, Doheon Lee* (2015, October). Identifying Potential Bioactive Compounds of Natural Products by Combining ADMET Prediction Methods. In Proceedings of the ACM Ninth International Workshop on Data and Text Mining in Biomedical Informatics (pp. 19-19).
- Suhyun Ha, Sunyong Yoo, Moonshik Shin, Jinsook Kwak, Oran Kwon, Minchang Choi, Keonwook Kang, Hojung Nam, Doheon Lee* (2014, November). Integrative Database for Exploring Compound Combinations of Natural Products for Medical Effects. In Proceedings of the ACM 8th International Workshop on Data and Text Mining in Bioinformatics (pp. 41-41).
- Moonshik Shin, Sunyong Yoo, Kwang H. Lee, Doheon Lee* (2012, November). Electronic Medical Records privacy preservation through k-anonymity clustering method. In The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems (pp. 1119-1124). IEEE.
Domestic Journals
- 이소연, 유선용* (2023). 기계학습을 활용한 화합물의 약인성 간 손상 예측 방법 연구. 정보과학회논문지, 50.9, 777-783.
- 정명현, 유선용* (2023). Predicting the Fetotoxicity of Drugs Using Machine Learning. Journal of Life Science, 33(6), 490-497.
- 정선우, 이민지, 유선용* (2021). 공공빅데이터를 활용한 기계학습 기반 뇌졸중 위험도 예측. 한국항행학회논문지, 25(1), 96-101.
- 이소연, 최지은, 유선용* (2021). Attention 알고리즘 기반 요약 콘텐츠 생성 방안 연구. 한국디지털콘텐츠학회, 22(9), 1487-1491.
- 윤현서, 유선용* (2021). Transformer 기반 비윤리적 문장 탐지. 한국디지털콘텐츠학회, 22(8), 1289-1293.
Domestic Conferences
- 이소연, 유선용* (2022). In silico 기법을 이용한 신경 독성 예측. 제 51회 한국정보통신학회 춘계종합학술대회 (pp. 270-272). 한국정보통신학회.
- 정명현, 유선용* (2022). Attention 알고리즘 기반 약물의 태아 독성 예측 연구. 제 51회 한국정보통신학회 춘계종합학술대회 (pp. 273-275). 한국정보통신학회.
- 정선우, 유선용* (2022). 약물 정보 문서 임베딩을 이용한 딥러닝 기반 약물 간 상호작용 예측. 제 51회 한국정보통신학회 춘계종합학술대회 (pp. 276-278). 한국정보통신학회.