Jaechang Lim
Orcid: 0000-0001-7342-4283
According to our database1,
Jaechang Lim
authored at least 12 papers
between 2018 and 2023.
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Bibliography
2023
C3Net: interatomic potential neural network for prediction of physicochemical properties in heterogenous systems.
CoRR, 2023
PIGNet2: A Versatile Deep Learning-based Protein-Ligand Interaction Prediction Model for Binding Affinity Scoring and Virtual Screening.
CoRR, 2023
2021
Fragment-based molecular generative model with high generalization ability and synthetic accessibility.
CoRR, 2021
2020
J. Chem. Inf. Model., 2020
PIGNet: A physics-informed deep learning model toward generalized drug-target interaction predictions.
CoRR, 2020
2019
Predicting Drug-Target Interaction Using a Novel Graph Neural Network with 3D Structure-Embedded Graph Representation.
J. Chem. Inf. Model., 2019
CoRR, 2019
Predicting drug-target interaction using 3D structure-embedded graph representations from graph neural networks.
CoRR, 2019
2018
Molecular generative model based on conditional variational autoencoder for de novo molecular design.
J. Cheminformatics, 2018
Kohn-Sham approach for fast hybrid density functional calculations in real-space numerical grid methods.
Comput. Phys. Commun., 2018
Deeply learning molecular structure-property relationships using graph attention neural network.
CoRR, 2018