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Jaechang Lim

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

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Sep 27, 2023
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PIGNet2: A Versatile Deep Learning-based Protein-Ligand Interaction Prediction Model for Binding Affinity Scoring and Virtual Screening

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Jul 17, 2023
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Fragment-based molecular generative model with high generalization ability and synthetic accessibility

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Nov 25, 2021
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PIGNet: A physics-informed deep learning model toward generalized drug-target interaction predictions

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Aug 22, 2020
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Molecular Generative Model Based On Adversarially Regularized Autoencoder

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Nov 13, 2019
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Scaffold-based molecular design using graph generative model

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May 31, 2019
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Predicting drug-target interaction using 3D structure-embedded graph representations from graph neural networks

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Apr 17, 2019
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Deeply learning molecular structure-property relationships using attention- and gate-augmented graph convolutional network

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Oct 08, 2018
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Molecular generative model based on conditional variational autoencoder for de novo molecular design

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Jun 15, 2018
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