Seokhyun Moon

According to our database, Seokhyun Moon authored at least 5 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

PIGNet2: A Versatile Deep Learning-based Protein-Ligand Interaction Prediction Model for Binding Affinity Scoring and Virtual Screening.

Seokhyun Moon, Sang-Yeon Hwang, Jaechang Lim, Woo Youn Kim

CoRR, 2023

Predicting quantum chemical property with easy-to-obtain geometry via positional denoising.

Hyeonsu Kim, Jeheon Woo, Seonghwan Kim, Seokhyun Moon, Jun Hyeong Kim, Woo Youn Kim

CoRR, 2023

GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional Denoising.

Hyeonsu Kim, Jeheon Woo, Seonghwan Kim, Seokhyun Moon, Jun Hyeong Kim, Woo Youn Kim

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020

PIGNet: A physics-informed deep learning model toward generalized drug-target interaction predictions.

Seokhyun Moon, Wonho Zhung, Soojung Yang, Jaechang Lim, Woo Youn Kim

CoRR, 2020

2019

Scaffold-based molecular design using graph generative model.

Jaechang Lim, Sang-Yeon Hwang, Seungsu Kim, Seokhyun Moon, Woo Youn Kim

CoRR, 2019