Articles by Woo Youn Kim

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Articles by Woo Youn Kim

FragFM: Hierarchical Framework for Efficient Molecule Generation via Fragment-Level Discrete Flow Matching

28 October 2025 by Joongwon Lee and others

Machine Learning, Artificial Intelligence

Synthesis of 3-dehydroxy-5-epi-collinoketone and its cognitive benefits by reducing aggregates of amyloid-β and tau

12 August 2025 by Seongrok Heo and others at

KAIST

Biological and Medicinal Chemistry, Organic Chemistry

Compositional Flows for 3D Molecule and Synthesis Pathway Co-design

10 April 2025 by Tony Shen and others

Machine Learning, Artificial Intelligence

Generative Flows on Synthetic Pathway for Drug Design

6 March 2025 by Seonghwan Seo and others

Biomolecules, Machine Learning

Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation

28 February 2025 by Jun Hyeong Kim and others

Machine Learning, Artificial Intelligence

BInD: Bond and Interaction-generating Diffusion Model for Multi-objective Structure-based Drug Design

3 December 2024 by Joongwon Lee and others

Biomolecules, Machine Learning

Riemannian Denoising Score Matching for Molecular Structure Optimization with Accurate Energy

29 November 2024 by Jeheon Woo and others

Machine Learning, Chemical Physics

TacoGFN: Target-conditioned GFlowNet for Structure-based Drug Design

6 September 2024 by Tony Shen and others at

Simon Fraser University

Machine Learning

HOS15-mediated turnover of PRR7 enhances freezing tolerance

19 August 2024 by Young Jin Kim and others at

Ohio State University

Plant Biology

Collective Variable Free Transition Path Sampling with Generative Flow Network

31 May 2024 by Kiyoung Seong and others

Machine Learning

DeepBioisostere: Discovering Bioisosteres with Deep Learning for a Fine Control of Multiple Molecular Properties

5 March 2024 by Hyeongwoo Kim and others at

KAIST

Biomolecules

PharmacoNet: Accelerating Large-Scale Virtual Screening by Deep Pharmacophore Modeling

18 December 2023 by Seonghwan Seo and Woo Youn Kim at

KAIST

Biomolecules, Machine Learning

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

14 December 2023 by Hyeonsu Kim and others

Chemical Physics, Artificial Intelligence

Diffusion-based Generative AI for Exploring Transition States from 2D Molecular Graphs

12 October 2023 by Seonghwan Kim and others

Chemical Physics, Artificial Intelligence

C3Net: interatomic potential neural network for prediction of physicochemical properties in heterogenous systems

27 September 2023 by Sehan Lee and others

Machine Learning, Artificial Intelligence

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

17 July 2023 by Seokhyun Moon and others

Biomolecules, Machine Learning

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

13 December 2021 by Seokhyun Moon and others

Biomolecules, Machine Learning

Fragment-based molecular generative model with high generalization ability and synthetic accessibility

25 November 2021 by Seonghwan Seo and others

Machine Learning

ZHX2 Promotes HIF1α Oncogenic Signaling in Triple-Negative Breast Cancer

15 November 2021 by Weichuan Fang and others

Cancer Biology

Pparg drives luminal differentiation and luminal tumor formation in the urothelium

25 October 2021 by Tamara Tate and others at

Columbia University Irving Medical Center

Cancer Biology

Molecular Generative Model Based On Adversarially Regularized Autoencoder

13 November 2019 by Seung Hwan Hong and others

Chemical Physics, Machine Learning

The consensus molecular classification of muscle-invasive bladder cancer

26 September 2019 by Aymen Kamoun and others

Cancer Biology

Scaffold-based molecular design using graph generative model

31 May 2019 by Jaechang Lim and others

Machine Learning, Biomolecules

Predicting drug-target interaction using 3D structure-embedded graph representations from graph neural networks

17 April 2019 by Jaechang Lim and others

Machine Learning

Uncertainty quantification of molecular property prediction with Bayesian neural networks

20 March 2019 by Seongok Ryu and others

Machine Learning

Artificial Retina Using A Hybrid Neural Network With Spatial Transform Capability

26 November 2018 by Richard Wood and others

Computer Vision and Pattern Recognition, Emerging Technologies

Uncertainty quantification of molecular property prediction using Bayesian neural network models

19 November 2018 by Seongok Ryu and others

Chemical Physics, Machine Learning

Molecular generative model based on conditional variational autoencoder for de novo molecular design

15 June 2018 by Jaechang Lim and others

Machine Learning

Deeply learning molecular structure-property relationships using graph attention neural network

29 May 2018 by Seongok Ryu and others

Machine Learning

Importance of local exact exchange potential in hybrid functionals for accurate excited states

28 October 2016 by Jaewook Kim and others

Chemical Physics, Computational Physics

Articles by Woo Youn Kimself.__wrap_n!=1&&self.__wrap_b("«Rkq7netetenb»",1)

Articles by Woo Youn Kim