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Myeonghun Lee

Showing results (1-10 of 8) with videos related to

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ACS Omega|February 7, 2022
A Comparative Study of the Performance for Predicting Biodegradability Classification: The Quantitative Structure-Activity Relationship Model vs the Graph Convolutional NetworkMyeonghun Lee, Kyoungmin Min
Biochemistry|August 25, 2023
AmorProt: Amino Acid Molecular Fingerprints Repurposing-Based Protein FingerprintMyeonghun Lee, Kyoungmin Min
Journal of Chemical Information and Modeling|June 6, 2022
MGCVAE: Multi-Objective Inverse Design via Molecular Graph Conditional Variational AutoencoderMyeonghun Lee, Kyoungmin Min
Journal of Chemical Information and Modeling|November 21, 2024
Matini-Net: Versatile Material Informatics Research Framework for Feature Engineering and Deep Neural Network DesignMyeonghun Lee, Taehyun Park, Kyoungmin Min
Heart Rhythm O2|September 8, 2025
ECG-GraphNet: Advanced arrhythmia classification based on graph convolutional networksMyeonghun Lee, Jiwoo Lim, JinKook Kim
ACS Biomaterials Science & Engineering|October 16, 2023
Prediction of Protein Aggregation Propensity via Data-Driven ApproachesSeungpyo Kang, Minseon Kim, Jiwon Sun, et al.
ACS Omega|April 22, 2022
Novel Solubility Prediction Models: Molecular Fingerprints and Physicochemical Features vs Graph Convolutional Neural NetworksSumin Lee, Myeonghun Lee, Ki-Won Gyak, et al.
Scientific Reports|June 24, 2023
AiKPro: deep learning model for kinome-wide bioactivity profiling using structure-based sequence alignments and molecular 3D conformer ensemble descriptorsHyejin Park, Sujeong Hong, Myeonghun Lee, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
ACS Omega|February 7, 2022
A Comparative Study of the Performance for Predicting Biodegradability Classification: The Quantitative Structure-Activity Relationship Model vs the Graph Convolutional NetworkMyeonghun Lee, Kyoungmin Min
Biochemistry|August 25, 2023
AmorProt: Amino Acid Molecular Fingerprints Repurposing-Based Protein FingerprintMyeonghun Lee, Kyoungmin Min
Journal of Chemical Information and Modeling|June 6, 2022
MGCVAE: Multi-Objective Inverse Design via Molecular Graph Conditional Variational AutoencoderMyeonghun Lee, Kyoungmin Min
Journal of Chemical Information and Modeling|November 21, 2024
Matini-Net: Versatile Material Informatics Research Framework for Feature Engineering and Deep Neural Network DesignMyeonghun Lee, Taehyun Park, Kyoungmin Min
Heart Rhythm O2|September 8, 2025
ECG-GraphNet: Advanced arrhythmia classification based on graph convolutional networksMyeonghun Lee, Jiwoo Lim, JinKook Kim
ACS Biomaterials Science & Engineering|October 16, 2023
Prediction of Protein Aggregation Propensity via Data-Driven ApproachesSeungpyo Kang, Minseon Kim, Jiwon Sun, et al.
ACS Omega|April 22, 2022
Novel Solubility Prediction Models: Molecular Fingerprints and Physicochemical Features vs Graph Convolutional Neural NetworksSumin Lee, Myeonghun Lee, Ki-Won Gyak, et al.
Scientific Reports|June 24, 2023
AiKPro: deep learning model for kinome-wide bioactivity profiling using structure-based sequence alignments and molecular 3D conformer ensemble descriptorsHyejin Park, Sujeong Hong, Myeonghun Lee, et al.
Pageof 1