Seungyeon Choi

According to our database, Seungyeon Choi authored at least 14 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration.

Seungyeon Choi, Hwanhee Kim, Chihyun Park, Dahyeon Lee, Seungyong Lee, Yoonju Kim, Hyoungjoon Park, Sein Kwon, Youngwan Jo, Sanghyun Park

CoRR, August, 2025

Exploring the potential of compound-protein complex structure-free models in virtual screening using BlendNet.

Sangmin Seo, Hwanhee Kim, Jieun Lee, Seungyeon Choi, Sanghyun Park

Briefings Bioinform., January, 2025

LatentTune: Efficient Tuning of High Dimensional Database Parameters via Latent Representation Learning.

Sein Kwon, Youngwan Jo, Seungyeon Choi, Jieun Lee, Huijun Jin, Sang-Hyun Park

Proceedings of the 32nd IEEE International Conference on High Performance Computing, 2025

TheProtein: Evolutionarily Informed Graph-Surface Protein Representation.

Seungyong Lee, Seungyeon Choi, Hwanhee Kim, Hyoungjoon Park, Yoonju Kim, Hyunseo Yang, Sanghyun Park

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Fixing Truncation-Induced Mode Collapse in GFlowNets via Pruning Loss.

Hwanhee Kim, Seungyeon Choi, Seungyong Lee, Hyoungjoon Park, Yoonju Kim, Sanghyun Park

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

TheProperty: Euclidean 3D Molecular Representations for Explainable ADMET Prediction.

Yoonju Kim, Seungyeon Choi, Seungyong Lee, Hwanhee Kim, Hyoungjoon Park, Sanghyun Park

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Pseq2Sites: Enhancing protein sequence-based ligand binding-site prediction accuracy via the deep convolutional network and attention mechanism.

Sangmin Seo, Jonghwan Choi, Seungyeon Choi, Jieun Lee, Chihyun Park, Sanghyun Park

Eng. Appl. Artif. Intell., January, 2024

PIDiff: Physics informed diffusion model for protein pocket-specific 3D molecular generation.

Seungyeon Choi, Sangmin Seo, Byung Ju Kim, Chihyun Park, Sanghyun Park

Comput. Biol. Medicine, 2024

DrDiff: Drug Response Prediction Through Controllable Diffusion-GE and Graph Attention Network.

Seungyeon Choi, Sangmin Seo, Jonghwan Choi, Chihyun Park, Sanghyun Park

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

SPIN: SE(3)-Invariant Physics Informed Network for Binding Affinity Prediction.

Seungyeon Choi, Sangmin Seo, Sanghyun Park

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

PretrainedBA: Enhancing Compound-Protein Binding Affinity Prediction Accuracy via Pre-training Large-Scale Interaction Information.

Sangmin Seo, Seungyeon Choi, Hwanhee Kim, Sanghyun Park

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

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

Jonghwan Choi, Sangmin Seo, Seungyeon Choi, Shengmin Piao, Chihyun Park, Sung Jin Ryu, Byung Ju Kim, Sanghyun Park

Comput. Biol. Medicine, May, 2023

2019

Urban Smart Block: An Open IoT Platform for Creating Online-to-Offline Services in Urban Environments.

Jae Wan Park, Seungyeon Choi

Int. J. Embed. Real Time Commun. Syst., 2019

2017

A feasibility study of automatic lung nodule detection in chest digital tomosynthesis with machine learning based on support vector machine.

Donghoon Lee, Ye-seul Kim, Sunghoon Choi, Haenghwa Lee, Byungdu Jo, Seungyeon Choi, Jungwook Shin, Hee-Joung Kim

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017