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Ryu, Seongok
26
results:
Search for persons
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Online (26)
Mediatypes
Articles (Online) (11)
OpenAccess-fulltext (15)
Sorted by: Relevance
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1
GalaxyDock-DL: Protein–Ligand Docking by Global Optimizatio..:
Lee, Changsoo
;
Won, Jonghun
;
Ryu, Seongok
...
Journal of Chemical Theory and Computation. , 2024
Link:
https://doi.org/10.1021/..
?
2
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/..
?
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
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/..
?
6
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/..
?
7
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/..
?
8
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/..
?
9
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/..
?
10
Accurate, reliable and interpretable solubility prediction ..:
Ryu, Seongok
;
Lee, Sumin
http://arxiv.org/abs/2210.07145. , 2022
Link:
http://arxiv.org/abs/221..
?
11
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..
?
12
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..
?
13
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..
?
14
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..
?
15
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..
1-15