Jaechang Lim

Orcid: 0000-0001-7342-4283

According to our database1, Jaechang Lim authored at least 13 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
DFRscore: Deep Learning-Based Scoring of Synthetic Complexity with Drug-Focused Retrosynthetic Analysis for High-Throughput Virtual Screening.
J. Chem. Inf. Model., 2024

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
Molecular Generative Model Based on an Adversarially Regularized Autoencoder.
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

Molecular Generative Model Based On Adversarially Regularized Autoencoder.
CoRR, 2019

Scaffold-based molecular design using graph generative model.
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


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