Sangmin Seo

Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms

Sangmin Seo, Jinho Kim, Jaekwang Kim, 2018, Comput. Math. Methods Medicine.

De Novo Drug Design Using Self-Attention Based Variational Autoencoder

Sangmin Seo, Jonghwan Choi, Sanghyun Park, 2022 .

G2Vec: Distributed gene representations for identification of cancer prognostic genes

Jaegyoon Ahn, Sangmin Seo, Jonghwan Choi, 2018, Scientific Reports.

Mining representative approximate frequent coexpression subnetworks

Saeed Salem, San Ha Seo, Saeed Salem, 2020 .

Post-Processing Summarization for Mining Frequent Dense Subnetworks

Saeed Salem, San Ha Seo, Saeed Salem, 2020, Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics.

Binding affinity prediction for protein–ligand complex using deep attention mechanism based on intermolecular interactions

Sanghyun Park, Jaegyoon Ahn, Sangmin Seo, 2021, BMC Bioinform..

Binding affinity prediction for protein–ligand complex using deep attention mechanism based on intermolecular interactions

Sanghyun Park, Jaegyoon Ahn, Sangmin Seo, 2021, BMC Bioinformatics.

ReBADD-SE: Multi-objective molecular optimisation using SELFIES fragment and off-policy self-critical sequence training

Chihyun Park, Sangmin Seo, Jonghwan Choi, 2023, Comput. Biol. Medicine.

COMA: efficient structure-constrained molecular generation using contractive and margin losses

Sangmin Seo, Jonghwan Choi, Sanghyun Park, 2023, Journal of Cheminformatics.

SELF-EdiT: Structure-constrained molecular optimisation using SELFIES editing transformer

Sangmin Seo, Jonghwan Choi, Sanghyun Park, 2023, Applied intelligence (Boston).

Mining approximate frequent dense modules from multiple gene expression datasets

Saeed Salem, Sangmin Seo, 2019 .

G2Vec: Distributed gene representations for identification of cancer prognostic genes

Jaegyoon Ahn, Jonghwan Choi, Ilhwan Oh, 2018, Scientific Reports.