E-LIB Suche - Ergebnisse für: Ryu, Seongok

1

Comprehensive Study on Molecular Supervised Learning with G..:

Hwang, Doyeong ; Yang, Soojung ; Kwon, Yongchan...
Journal of Chemical Information and Modeling. 60 (2020) 12 - p. 5936-5945 , 2020

Link: https://doi.org/10.1021/..

2

A Bayesian graph convolutional network for reliable predict..:

Ryu, Seongok ; Kwon, Yongchan ; Kim, Woo Youn
Chemical Science. 10 (2019) 36 - p. 8438-8446 , 2019

Link: https://doi.org/10.1039/..

3

Molecular Generative Model Based on an Adversarially Regula..:

Hong, Seung Hwan ; Ryu, Seongok ; Lim, Jaechang.
Journal of Chemical Information and Modeling. 60 (2019) 1 - p. 29-36 , 2019

Link: https://doi.org/10.1021/..

4

Predicting Drug–Target Interaction Using a Novel Graph Neur..:

Lim, Jaechang ; Ryu, Seongok ; Park, Kyubyong...
Journal of Chemical Information and Modeling. 59 (2019) 9 - p. 3981-3988 , 2019

Link: https://doi.org/10.1021/..

5

Molecular generative model based on conditional variational..:

Lim, Jaechang ; Ryu, Seongok ; Kim, Jin Woo.
Journal of Cheminformatics. 10 (2018) 1 - p. , 2018

Link: https://doi.org/10.1186/..

6

Effects of the locality of a potential derived from hybrid ..:

Kim, Jaewook ; Hong, Kwangwoo ; Hwang, Sang-Yeon...
Physical Chemistry Chemical Physics. 19 (2017) 15 - p. 10177-10186 , 2017

Link: https://doi.org/10.1039/..

7

Update to ACE‐molecule: Projector augmented wave method on ..:

Kang, Sungwoo ; Ryu, Seongok ; Choi, Sunghwan...
International Journal of Quantum Chemistry. 116 (2016) 8 - p. 644-650 , 2016

Link: https://doi.org/10.1002/..

8

Supersampling method for efficient grid-based electronic st..:

Ryu, Seongok ; Choi, Sunghwan ; Hong, Kwangwoo.
The Journal of Chemical Physics. 144 (2016) 9 - p. , 2016

Link: https://doi.org/10.1063/..

9

Accurate, reliable and interpretable solubility prediction ..:

Ryu, Seongok ; Lee, Sumin
http://arxiv.org/abs/2210.07145. , 2022

Link: http://arxiv.org/abs/221..

10

Hit and Lead Discovery with Explorative RL and Fragment-bas..:

Yang, Soojung ; Hwang, Doyeong ; Lee, Seul..
http://arxiv.org/abs/2110.01219. , 2021

Link: http://arxiv.org/abs/211..

11

A comprehensive study on the prediction reliability of grap..:

Yang, Soojung ; Lee, Kyung Hoon ; Ryu, Seongok
http://arxiv.org/abs/2003.07611. , 2020

Link: http://arxiv.org/abs/200..

12

A benchmark study on reliable molecular supervised learning..:

Hwang, Doyeong ; Lee, Grace ; Jo, Hanseok..
http://arxiv.org/abs/2006.07021. , 2020

Link: http://arxiv.org/abs/200..

13

Predicting drug-target interaction using 3D structure-embed..:

Lim, Jaechang ; Ryu, Seongok ; Park, Kyubyong...
http://arxiv.org/abs/1904.08144. , 2019

Link: http://arxiv.org/abs/190..

14

Uncertainty quantification of molecular property prediction..:

Ryu, Seongok ; Kwon, Yongchan ; Kim, Woo Youn
http://arxiv.org/abs/1903.08375. , 2019

Link: http://arxiv.org/abs/190..

15

Molecular Generative Model Based On Adversarially Regulariz..:

Hong, Seung Hwan ; Lim, Jaechang ; Ryu, Seongok.
http://arxiv.org/abs/1912.05617. , 2019

Link: http://arxiv.org/abs/191..