Influence of the physical forcing of different water masses on the spatial and temporal distributions of picophytoplankton in the northern East China Sea von Lee, Youngju, Choi, Joong Ki, Youn, Seokhyun, Roh, Seungmok

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A Three–Year Comparison of Fluctuations in the Occurrence of the Giant Jellyfish (Nemopilema nomurai) von Oh, Sunyoung, Kim, Kyoungyeon, Youn, Seokhyun, Lee, Sara, Park, Geunchang, Oh, Wooseok, Lee, Kyounghoon

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Influence of the Changjiang diluted waters on the nanophytoplankton distribution in the northern East China Sea von Lee, Youngju, Yang, Eun-Jin, Youn, Seokhyun, Choi, Joong Ki

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PIGNet: a physics-informed deep learning model toward generalized drug-target interaction predictions von Moon, Seokhyun, Zhung, Wonho, Yang, Soojung, Lim, Jaechang, Kim, Woo Youn

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Scaffold-based molecular design with a graph generative model von Lim, Jaechang, Hwang, Sang-Yeon, Moon, Seokhyun, Kim, Seungsu, Kim, Woo Youn

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Toward generalizable structure‐based deep learning models for protein–ligand interaction prediction: Challenges and strategies von Moon, Seokhyun, Zhung, Wonho, Kim, Woo Youn

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PIGNet2: a versatile deep learning-based proteinligand interaction prediction model for binding affinity scoring and virtual screening von Moon, Seokhyun, Hwang, Sang-Yeon, Lim, Jaechang, Kim, Woo Youn

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PIGNet2: a versatile deep learning-based protein–ligand interaction prediction model for binding affinity scoring and virtual screening von Moon, Seokhyun, Hwang, Sang-Yeon, Lim, Jaechang, Kim, Woo Youn

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PIGNet2: A Versatile Deep Learning-based Protein-Ligand Interaction Prediction Model for Binding Affinity Scoring and Virtual Screening von Moon, Seokhyun, Hwang, Sang-Yeon, Lim, Jaechang, Kim, Woo Youn

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Discrete Diffusion Schr\"odinger Bridge Matching for Graph Transformation von Kim, Jun Hyeong, Kim, Seonghwan, Moon, Seokhyun, Kim, Hyeongwoo, Woo, Jeheon, Kim, Woo Youn

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DeepBioisostere: Discovering Bioisosteres with Deep Learning for a Fine Control of Multiple Molecular Properties von Kim, Hyeongwoo, Moon, Seokhyun, Zhung, Wonho, Lim, Jaechang, Kim, Woo Youn

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GeoTMI:Predicting quantum chemical property with easy-to-obtain geometry via positional denoising von Kim, Hyeonsu, Woo, Jeheon, Kim, Seonghwan, Moon, Seokhyun, Kim, Jun Hyeong, Kim, Woo Youn

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PIGNet2: A Versatile Deep Learning-based Protein-Ligand Interaction Prediction Model for Binding Affinity Scoring and Virtual Screening von Moon, Seokhyun, Sang-Yeon Hwang, Lim, Jaechang, Woo Youn Kim

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PIGNet2: A versatile deep learning-based protein-ligand interaction prediction model for accurate binding affinity scoring and virtual screening von Seokhyun, Moon, Sang-Yeon, Hwang, Jaechang, Lim, Youn, Kim Woo

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Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation von Kim, Jun Hyeong, Kim, Seonghwan, Moon, Seokhyun, Kim, Hyeongwoo, Woo, Jeheon, Woo Youn Kim

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DISPLAY DEVICE von LEE, DONGHYUN, KANG, YOUN-WOONG, LEE, JAEHAK, NAM, SEOKHYUN, SONG, SI JOON

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PIGNet: A physics-informed deep learning model toward generalized drug-target interaction predictions von Moon, Seokhyun, Zhung, Wonho, Yang, Soojung, Lim, Jaechang, Kim, Woo Youn

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DISPLAY DEVICE von LEE, DONGHYUN, KANG, YOUN-WOONG, NAM, SEOKHYUN, SONG, SI JOON, YOON, SANGHYUCK

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DeepBioisostere: Discovering Bioisosteres with Deep Learning for a Fine Control of Multiple Molecular Properties von Kim, Hyeongwoo, Moon, Seokhyun, Zhung, Wonho, Lim, Jaechang, Woo Youn Kim

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GeoTMI:Predicting quantum chemical property with easy-to-obtain geometry via positional denoising von Kim, Hyeonsu, Woo, Jeheon, Kim, Seonghwan, Moon, Seokhyun, Kim, Jun Hyeong, Woo Youn Kim

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