Myungwon Seo

Korea Research Institute of Chemical Technology — South Korea

Computer Science · Physical Sciences

9h-index249citations34works3.02yr avg
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Research Topics

Computational Drug Discovery Methods(18), Effects and risks of endocrine disrupting chemicals(4), Chemistry and Chemical Engineering(4), Natural Compounds in Disease Treatment(3), Toxic Organic Pollutants Impact(2)

Publications34 total

Development of a Deep Learning-Based Model to Predict KeratinoSens<sup>TM</sup> Activity for Screening Potential Skin Sensitizers
Korean Journal of Environmental Health Sciences·2025Open Access
Development of a Deep Learning-Based Model for Predicting Functions and Applications of Chemicals to Support Safe-by-Design Chemical Products
Korean Journal of Environmental Health Sciences·2025Open Access
Development of a deep neural network model based on high throughput screening data for predicting synergistic estrogenic activity of binary mixtures for consumer products
Journal of Hazardous Materials·2025· 3 citedOpen Access
Integrative assessment of mixture toxicity of household chemicals using the toxic unit approach and mode of action
Toxicology·2025· 2 cited
Trend of <i>In Silico</i> Prediction Research Using Adverse Outcome Pathway
Korean Journal of Environmental Health Sciences·2024Open Access
In Vitro Toxicity Screening of Fifty Complex Mixtures in HepG2 Cells
Toxics·2024· 13 citedOpen Access
Computational modeling approaches for developing a synergistic effect prediction model of estrogen agonistic activity
Chemosphere·2023· 3 cited
Review of Domestic and Foreign Technology Trends for the Development of Exploring Alternative Candidate Algorithms
Korean Journal of Environmental Health Sciences·2023Open Access
Development of a Deep Learning Model for Predicting the Synergistic Estrogenic Effects in Binary Mixtures Using Novel Mixture Descriptors
SSRN Electronic Journal·2023Open Access
MRA Toolbox v. 1.0: a web-based toolbox for predicting mixture toxicity of chemical substances in chemical products
Scientific Reports·2022· 13 citedOpen Access
Developing random forest based QSAR models for predicting the mixture toxicity of TiO2 based nano-mixtures to Daphnia magna
NanoImpact·2022· 51 citedOpen Access
Development of a novel QSAR model for predicting the synergistic effect of binary mixtures of estrogen receptor agonists
Toxicology Letters·2021
Novel QSAR Models for Molecular Initiating Event Modeling in Two Intersecting Adverse Outcome Pathways Based Pulmonary Fibrosis Prediction for Biocidal Mixtures
Toxics·2021· 12 citedOpen Access
Investigation on Combined Inhalation Exposure Scenarios to Biocidal Mixtures: Biocidal and Household Chemical Products in South Korea
Toxics·2021· 23 citedOpen Access
BMDMS-NP: A comprehensive ESI-MS/MS spectral library of natural compounds
Phytochemistry·2020· 31 citedOpen Access
PreMetabo: An in silico phase I and II drug metabolism prediction platform
Drug Metabolism and Pharmacokinetics·2020· 13 cited
Development of Natural Compound Molecular Fingerprint (NC-MFP) with the Dictionary of Natural Products (DNP) for natural product-based drug development
Journal of Cheminformatics·2020· 66 citedOpen Access
MOESM11 of Development of Natural Compound Molecular Fingerprint (NC-MFP) with the Dictionary of Natural Products (DNP) for natural product-based drug development
Figshare·2020Open Access
MOESM10 of Development of Natural Compound Molecular Fingerprint (NC-MFP) with the Dictionary of Natural Products (DNP) for natural product-based drug development
Figshare·2020Open Access
MOESM12 of Development of Natural Compound Molecular Fingerprint (NC-MFP) with the Dictionary of Natural Products (DNP) for natural product-based drug development
Figshare·2020Open Access
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Frequent Co-authors

Kyoung Tai No(16), Sungbo Hwang(15), Yoochan Myung(13), Hyun Chul Shin(12), Sunmi Kim(8), Jongwoon Kim(5), Jongseo Park(5), Jiwon Choi(4), Hyun Kil Shin(3), Kyoung Hee Kang(3), Wook‐Joon Yu(3), Sujin Lee(3), Minju Na(2), Seong Eun Shin(2), Sangmoon Han(2), Tung X. Trinh(1), Tae Hyun Yoon(1), Sang‐Won Lee(1), Ki Beom Shin(1), Kwang Hoe Kim(1)