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Myeonghun Lee
Myeonghun Lee
HUINNO Co., Ltd.
Verified email at huinno.com - Homepage
Title
Cited by
Cited by
Year
Novel solubility prediction models: Molecular fingerprints and physicochemical features vs graph convolutional neural networks
S Lee, M Lee, KW Gyak, SD Kim, MJ Kim, K Min
ACS omega 7 (14), 12268-12277, 2022
542022
MGCVAE: multi-objective inverse design via molecular graph conditional variational autoencoder
M Lee, K Min
Journal of chemical information and modeling 62 (12), 2943-2950, 2022
492022
A comparative study of the performance for predicting biodegradability classification: the quantitative structure–activity relationship model vs the graph convolutional network
M Lee, K Min
ACS omega 7 (4), 3649-3655, 2022
212022
Natural language processing techniques for advancing materials discovery: a short review
JH Lee, M Lee, K Min
International Journal of Precision Engineering and Manufacturing-Green …, 2023
102023
Evaluation of principal features for predicting bulk and shear modulus of inorganic solids with machine learning
M Lee, M Kim, K Min
Materials Today Communications 33, 104208, 2022
102022
AiKPro: deep learning model for kinome-wide bioactivity profiling using structure-based sequence alignments and molecular 3D conformer ensemble descriptors
H Park, S Hong, M Lee, S Kang, R Brahma, KH Cho, JM Shin
Scientific Reports 13 (1), 10268, 2023
52023
Prediction of protein aggregation propensity via Data-Driven approaches
S Kang, M Kim, J Sun, M Lee, K Min
ACS Biomaterials Science & Engineering 9 (11), 6451-6463, 2023
22023
AmorProt: Amino Acid Molecular Fingerprints Repurposing-Based Protein Fingerprint
M Lee, K Min
Biochemistry 62 (18), 2700-2709, 2023
12023
Matini-Net: Versatile Material Informatics Research Framework for Feature Engineering and Deep Neural Network Design
M Lee, T Park, K Min
Journal of Chemical Information and Modeling 64 (23), 8770-8783, 2024
2024
ID: 4120981 A Step Forward in Predictive Cardiology: AI-Driven ECG Algorithm for Predicting the Occurrence of Intraventricular Conduction Abnormalities with Wide QRS Complex
J KIM, M Lee, J Lim, S Jung, I Oh
Heart Rhythm 21 (9), S783-S784, 2024
2024
Evaluation of Principal Features for Predicting Elastic Properties of Inorganic Solids with Machine Learning
M Lee, M Kim, K Min
Available at SSRN 4091236, 0
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Articles 1–11