Jaechang Lim

Predicting Drug–Target Interaction Using a Novel Graph Neural Network with 3D Structure-Embedded Graph Representation

Jaechang Lim, Seongok Ryu, Kyubyong Park et al. · Journal of Chemical Information and Modeling · 2019 · 422 citations

Pharmacy, Bioinformatics, Medicinal Chemistry +17

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

Seokhyun Moon, Wonho Zhung, Soojung Yang et al. · Chemical Science · 2022 · 191 citations · Full text

Pharmacy, Bioinformatics, Drug Discovery +12

Deeply learning molecular structure-property relationships using attention- and gate-augmented graph convolutional network

Seongok Ryu, Jaechang Lim, Seung Hwan Hong et al. · arXiv (Cornell University) · 2018 · 80 citations · Full text

Natural Sciences, Chemistry, Materials Science +17

Drug-likeness scoring based on unsupervised learning

Kyung-Hoon Lee, Jinho Jang, Seonghwan Seo et al. · Chemical Science · 2021 · 54 citations · Full text

Pharmacy, Medicinal Chemistry, Drug Design +13

Study of Li Adsorption on Graphdiyne Using Hybrid DFT Calculations

Jaewook Kim, Sungwoo Kang, Jaechang Lim et al. · ACS Applied Materials & Interfaces · 2018 · 51 citations

Natural Sciences, Materials Science, Physics +12