PUBLICATIONS
CONFERENCES
Junyong Park, Sunyong Yoo*
Novel Molecular Design via a Scaffold-Aware Transformer with Multi-Scale Attention Mechanisms
The 19th International Conference on Data and Text Mining in Biomedical Informatics, 2025.
Junyong Park (DTMBIO 2025).pdf
Subhin Seomun, Sunyong Yoo*
Cross-species multi-task learning with molecular and ADME descriptors for liver microsomal metabolic stability
Subhin Seomun (DTMBIO 2025).pdf
Chaewon Kim, Sunyong Yoo*
Predicting Drug-Induced Transcriptional Responses Using Latent Diffusion Model
Chaewon Kim (DTMBIO 2025).pdf
Yeabean Na, Junho Kim, Myung-Gyun Kang, Sunyong Yoo*
A Multimodal Deep Learning Approach for Predicting Drug Metabolism According to the CYP2D6 Genetic Variation
The 18th International Conference on Data and Text Mining in Biomedical Informatics, 2024.
Myeonghyeon Jeong, Sunyong Yoo
FetoML: Interpretable predictions of the fetotoxicity of drugs based on machine learning approaches
17th International Conference on Data and Text Mining in Biomedical Informatics, DTMBIO, 2023.
Dohyeon Lee, Sunyong Yoo*
hERGAT: Predicting hERG blockers using graph attention mechanism through atom- and molecule-level interaction analysis
Myeonghyeon Jeong, Sangjin Kim, Yewon Han, Jihyun Jeong, Dahwa Jung, Inyoung Choi, Sunyong Yoo*
Attention-based Deep Neural Network for Predicting Fetotoxicity
the 10th International Conference on Big Data Applications and Services, The Korea Big Data Service Society, 2022.
Moonshik Shin, Sunyong Yoo, Suhyun Ha, Kyungrin Noh, Doheon Lee*
Identifying Potential Bioactive Compounds of Natural Products by Combining ADMET Prediction Methods
Proceedings of the ACM Ninth International Workshop on Data and Text Mining in Biomedical Informatics, CIKM, 2015.
Suhyun Ha, Sunyong Yoo, Moonshik Shin, Jin Sook Kwak, Oran Kwon, Min Chang Choi, Keon Wook Kang, Hojung Nam, Doheon Lee*
Integrative Database for Exploring Compound Combinations of Natural Products for Medical Effects
Proceedings of the ACM 8th International Workshop on Data and Text Mining in Bioinformatics, CIKM, 2014.
Moonshik Shin, Sunyong Yoo, Kwang H Lee, Doheon Lee*
Electronic medical records privacy preservation through k-anonymity clustering method
The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems, IEEE, 2012.
© 2026 BMIL All Rights Reserved.
Junyong Park, Sunyong Yoo*
Novel Molecular Design via a Scaffold-Aware Transformer with Multi-Scale Attention Mechanisms
The 19th International Conference on Data and Text Mining in Biomedical Informatics, 2025.
Junyong Park (DTMBIO 2025).pdf
1549KBSubhin Seomun, Sunyong Yoo*
Cross-species multi-task learning with molecular and ADME descriptors for liver microsomal metabolic stability
The 19th International Conference on Data and Text Mining in Biomedical Informatics, 2025.
Subhin Seomun (DTMBIO 2025).pdf
786KBChaewon Kim, Sunyong Yoo*
Predicting Drug-Induced Transcriptional Responses Using Latent Diffusion Model
The 19th International Conference on Data and Text Mining in Biomedical Informatics, 2025.
Chaewon Kim (DTMBIO 2025).pdf
677KBYeabean Na, Junho Kim, Myung-Gyun Kang, Sunyong Yoo*
A Multimodal Deep Learning Approach for Predicting Drug Metabolism According to the CYP2D6 Genetic Variation
The 18th International Conference on Data and Text Mining in Biomedical Informatics, 2024.
Myeonghyeon Jeong, Sunyong Yoo
FetoML: Interpretable predictions of the fetotoxicity of drugs based on machine learning approaches
17th International Conference on Data and Text Mining in Biomedical Informatics, DTMBIO, 2023.
Dohyeon Lee, Sunyong Yoo*
hERGAT: Predicting hERG blockers using graph attention mechanism through atom- and molecule-level interaction analysis
17th International Conference on Data and Text Mining in Biomedical Informatics, DTMBIO, 2023.
Myeonghyeon Jeong, Sangjin Kim, Yewon Han, Jihyun Jeong, Dahwa Jung, Inyoung Choi, Sunyong Yoo*
Attention-based Deep Neural Network for Predicting Fetotoxicity
the 10th International Conference on Big Data Applications and Services, The Korea Big Data Service Society, 2022.
Moonshik Shin, Sunyong Yoo, Suhyun Ha, Kyungrin Noh, Doheon Lee*
Identifying Potential Bioactive Compounds of Natural Products by Combining ADMET Prediction Methods
Proceedings of the ACM Ninth International Workshop on Data and Text Mining in Biomedical Informatics, CIKM, 2015.
Suhyun Ha, Sunyong Yoo, Moonshik Shin, Jin Sook Kwak, Oran Kwon, Min Chang Choi, Keon Wook Kang, Hojung Nam, Doheon Lee*
Integrative Database for Exploring Compound Combinations of Natural Products for Medical Effects
Proceedings of the ACM 8th International Workshop on Data and Text Mining in Bioinformatics, CIKM, 2014.
Moonshik Shin, Sunyong Yoo, Kwang H Lee, Doheon Lee*
Electronic medical records privacy preservation through k-anonymity clustering method
The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems, IEEE, 2012.