Jaechang Lim

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

Graph Representations

Generative Model

Top Venues

J. Chem. Inf. Model.

J. Cheminformatics

Comput. Phys. Commun.

Publications

Hyeongwoo Kim, Kyunghoon Lee, Chansu Kim, Jaechang Lim, Woo Youn Kim
DFRscore: Deep Learning-Based Scoring of Synthetic Complexity with Drug-Focused Retrosynthetic Analysis for High-Throughput Virtual Screening. J. Chem. Inf. Model. 64 (7) (2024)
Sehan Lee, Jaechang Lim, Woo Youn Kim
C3Net: interatomic potential neural network for prediction of physicochemical properties in heterogenous systems. CoRR (2023)
Seokhyun Moon, Sang-Yeon Hwang, Jaechang Lim, Woo Youn Kim
PIGNet2: A Versatile Deep Learning-based Protein-Ligand Interaction Prediction Model for Binding Affinity Scoring and Virtual Screening. CoRR (2023)
Seonghwan Seo, Jaechang Lim, Woo Youn Kim
Fragment-based molecular generative model with high generalization ability and synthetic accessibility. CoRR (2021)
Seokhyun Moon, Wonho Zhung, Soojung Yang, Jaechang Lim, Woo Youn Kim
PIGNet: A physics-informed deep learning model toward generalized drug-target interaction predictions. CoRR (2020)
Seung Hwan Hong, Seongok Ryu, Jaechang Lim, Woo Youn Kim
Molecular Generative Model Based on an Adversarially Regularized Autoencoder. J. Chem. Inf. Model. 60 (1) (2020)
Jaechang Lim, Seongok Ryu, Kyubyong Park, Yo Joong Choe, Jiyeon Ham, Woo Youn Kim
Predicting Drug-Target Interaction Using a Novel Graph Neural Network with 3D Structure-Embedded Graph Representation. J. Chem. Inf. Model. 59 (9) (2019)
Jaechang Lim, Sang-Yeon Hwang, Seungsu Kim, Seokhyun Moon, Woo Youn Kim
Scaffold-based molecular design using graph generative model. CoRR (2019)
Jaechang Lim, Seongok Ryu, Kyubyong Park, Yo Joong Choe, Jiyeon Ham, Woo Youn Kim
Predicting drug-target interaction using 3D structure-embedded graph representations from graph neural networks. CoRR (2019)
Seung Hwan Hong, Jaechang Lim, Seongok Ryu, Woo Youn Kim
Molecular Generative Model Based On Adversarially Regularized Autoencoder. CoRR (2019)
Jaechang Lim, Seongok Ryu, Jin Woo Kim, Woo Youn Kim
Molecular generative model based on conditional variational autoencoder for de novo molecular design. J. Cheminformatics 10 (1) (2018)
Jaewook Kim, Sungwoo Kang, Jaechang Lim, Sang-Yeon Hwang, Woo Youn Kim
Kohn-Sham approach for fast hybrid density functional calculations in real-space numerical grid methods. Comput. Phys. Commun. 230 (2018)
Seongok Ryu, Jaechang Lim, Woo Youn Kim
Deeply learning molecular structure-property relationships using graph attention neural network. CoRR (2018)
Jaechang Lim, Seongok Ryu, Jin Woo Kim, Woo Youn Kim
Molecular generative model based on conditional variational autoencoder for de novo molecular design. CoRR (2018)