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Moon, Seokhyun

  1. PIGNet: A physics-informed deep learning model toward generalized drug-target interaction predictions
    2020/08/22 by Seokhyun Moon, Wonho Zhung, Moon, Seokhyun +7 · 5 citations
    Computer Science · Materials Science · Biochemistry, Genetics and Molecular Biology · #Computational Drug Discovery Methods #Machine Learning in Materials Science #Protein Structure and Dynamics
  2. Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation
    2024/10/02 by Kim, Jun Hyeong, Kim, Seonghwan, Moon, Seokhyun +3 · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  3. GeoTMI:Predicting quantum chemical property with easy-to-obtain geometry via positional denoising
    2023/03/28 by Kim, Hyeonsu, Woo, Jeheon, Kim, Seonghwan +3 · 1 citation
    #Artificial Intelligence (cs.AI) #Chemical Physics (physics.chem-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
  4. PIGNet2: A Versatile Deep Learning-based Protein-Ligand Interaction Prediction Model for Binding Affinity Scoring and Virtual Screening
    2023/07/03 by Seokhyun Moon, Sang-Yeon Hwang, Moon, Seokhyun +5 · 1 citation
    Computer Science · Materials Science · Biochemistry, Genetics and Molecular Biology · #Computational Drug Discovery Methods #Machine Learning in Materials Science #Protein Structure and Dynamics
  5. FragFM: Hierarchical Framework for Efficient Molecule Generation via Fragment-Level Discrete Flow Matching
    2025/02/19 by Lee, Joongwon, Kim, Seonghwan, Moon, Seokhyun +2 · 1 citation
    #Artificial Intelligence (cs.AI) #Chemical Physics (physics.chem-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)