Jaechang Lim - RankMe

16 papers Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction. CoRR Yinhua Piao, Hyomin Kim, Seonghwan Kim, Yunhak Oh, Junhyeok Jeon, Sang-Yeon Hwang, Jaechang Lim, Woo Youn Kim, Chanyoung Park, Sungsoo Ahn
2026	J	`jnl`	Progressive Multi-Agent Reasoning for Biological Perturbation Prediction. CoRR Hyomin Kim, Sang-Yeon Hwang, Jaechang Lim, Yinhua Piao, Yunhak Oh, Woo Youn Kim, Chanyoung Park, Sungsoo Ahn, Junhyeok Jeon
2024	J	`jnl`	DFRscore: Deep Learning-Based Scoring of Synthetic Complexity with Drug-Focused Retrosynthetic Analysis for High-Throughput Virtual Screening. J. Chem. Inf. Model. Hyeongwoo Kim, Kyunghoon Lee, Chansu Kim, Jaechang Lim, Woo Youn Kim
2023	J	`jnl`	C3Net: interatomic potential neural network for prediction of physicochemical properties in heterogenous systems. CoRR Sehan Lee, Jaechang Lim, Woo Youn Kim
2023	J	`jnl`	PIGNet2: A Versatile Deep Learning-based Protein-Ligand Interaction Prediction Model for Binding Affinity Scoring and Virtual Screening. CoRR Seokhyun Moon, Sang-Yeon Hwang, Jaechang Lim, Woo Youn Kim
2021	J	`jnl`	Fragment-based molecular generative model with high generalization ability and synthetic accessibility. CoRR Seonghwan Seo, Jaechang Lim, Woo Youn Kim
2020	J	`jnl`	Molecular Generative Model Based on an Adversarially Regularized Autoencoder. J. Chem. Inf. Model. Seung Hwan Hong, Seongok Ryu, Jaechang Lim, Woo Youn Kim
2020	J	`jnl`	PIGNet: A physics-informed deep learning model toward generalized drug-target interaction predictions. CoRR Seokhyun Moon, Wonho Zhung, Soojung Yang, Jaechang Lim, Woo Youn Kim
2019	J	`jnl`	Molecular Generative Model Based On Adversarially Regularized Autoencoder. CoRR Seung Hwan Hong, Jaechang Lim, Seongok Ryu, Woo Youn Kim
2019	J	`jnl`	Predicting Drug-Target Interaction Using a Novel Graph Neural Network with 3D Structure-Embedded Graph Representation. J. Chem. Inf. Model. Jaechang Lim, Seongok Ryu, Kyubyong Park, Yo Joong Choe, Jiyeon Ham, Woo Youn Kim
2019	J	`jnl`	Predicting drug-target interaction using 3D structure-embedded graph representations from graph neural networks. CoRR Jaechang Lim, Seongok Ryu, Kyubyong Park, Yo Joong Choe, Jiyeon Ham, Woo Youn Kim
2019	J	`jnl`	Scaffold-based molecular design using graph generative model. CoRR Jaechang Lim, Sang-Yeon Hwang, Seungsu Kim, Seokhyun Moon, Woo Youn Kim
2018	J	`jnl`	Deeply learning molecular structure-property relationships using graph attention neural network. CoRR Seongok Ryu, Jaechang Lim, Woo Youn Kim
2018	J	`jnl`	Kohn-Sham approach for fast hybrid density functional calculations in real-space numerical grid methods. Comput. Phys. Commun. Jaewook Kim, Sungwoo Kang, Jaechang Lim, Sang-Yeon Hwang, Woo Youn Kim
2018	J	`jnl`	Molecular generative model based on conditional variational autoencoder for de novo molecular design. CoRR Jaechang Lim, Seongok Ryu, Jin Woo Kim, Woo Youn Kim
2018	J	`jnl`	Molecular generative model based on conditional variational autoencoder for de novo molecular design. J. Cheminformatics Jaechang Lim, Seongok Ryu, Jin Woo Kim, Woo Youn Kim