| Development of Natural Compound Molecular Fingerprint (NC-MFP) with the Dictionary of Natural Products (DNP) for natural product-based drug development M Seo, HK Shin, Y Myung, S Hwang, KT No Journal of Cheminformatics 12 (1), 6, 2020 | 40 | 2020 |
| Meta-analysis of Daphnia magna nanotoxicity experiments in accordance with test guidelines HK Shin, M Seo, SE Shin, KY Kim, JW Park, KT No Environmental Science: Nano 5 (3), 765-775, 2018 | 18 | 2018 |
| Developing random forest based QSAR models for predicting the mixture toxicity of TiO2 based nano-mixtures to Daphnia magna XT Trinh, M Seo, TH Yoon, J Kim nanoImpact 25, 2022 | 17 | 2022 |
| BMDMS-NP: A comprehensive ESI-MS/MS spectral library of natural compounds S Lee, S Hwang, M Seo, KB Shin, KH Kim, GW Park, JY Kim, JS Yoo, ... Phytochemistry 177, 112427, 2020 | 16 | 2020 |
| Investigation on combined inhalation exposure scenarios to biocidal mixtures: biocidal and household chemical products in South Korea S Kim, M Seo, M Na, J Kim Toxics 9 (2), 32, 2021 | 15 | 2021 |
| PreMetabo: An in silico phase I and II drug metabolism prediction platform S Hwang, HK Shin, SE Shin, M Seo, HN Jeon, DE Yim, DH Kim, KT No Drug Metabolism and Pharmacokinetics 35 (4), 361-367, 2020 | 8 | 2020 |
| Novel QSAR models for molecular initiating event modeling in two intersecting adverse outcome pathways based pulmonary fibrosis prediction for biocidal mixtures M Seo, CH Chae, Y Lee, HR Kim, J Kim Toxics 9 (3), 59, 2021 | 7 | 2021 |
| MRA Toolbox v. 1.0: a web-based toolbox for predicting mixture toxicity of chemical substances in chemical products J Kim, M Seo, J Choi, M Na Scientific Reports 12 (1), 8880, 2022 | 2 | 2022 |
| Trend of In Silico Prediction Research Using Adverse Outcome Pathway S Lee, J Park, S Kim, M Seo | | 2024 |
| In Vitro Toxicity Screening of Fifty Complex Mixtures in HepG2 Cells S Kim, K Kang, H Kim, M Seo Toxics 12 (2), 126, 2024 | | 2024 |
| Computational modeling approaches for developing a synergistic effect prediction model of estrogen agonistic activity M Seo, J Choi, J Park, WJ Yu, S Kim Chemosphere 349, 140926, 2024 | | 2024 |
| Review of Domestic and Foreign Technology Trends for the Development of Exploring Alternative Candidate Algorithms J Choi, J Park, M Seo, YM Lee, S Kim | | 2023 |
| Development of a Deep Learning Model for Predicting the Synergistic Estrogenic Effects in Binary Mixtures Using Novel Mixture Descriptors M Seo, J Choi, J Park, WJ Yu, S Kim Available at SSRN 4336845, 0 | | |
