Jonghwan Choi
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Hallym Polytechnic Universityas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-8429-4135
- OpenAlex ID
- A5064308519as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 8
Binding affinity prediction for protein–ligand complex using deep attention mechanism based on intermolecular interactions,
G2Vec: Distributed gene representations for identification of cancer prognostic genes,
GVES: machine learning model for identification of prognostic genes with a small dataset,
Improved Prediction of Cancer Outcome Using Graph-Embedded Generative Adversarial Networks,
Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-Directed Molecular Generation,
Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms,
Pseq2Sites: Enhancing protein sequence-based ligand binding-site prediction accuracy via the deep convolutional network and attention mechanism,
ReBADD-SE: Multi-objective molecular optimisation using SELFIES fragment and off-policy self-critical sequence training
← Authored by 8
Binding affinity prediction for protein–ligand complex using deep attention mechanism based on intermolecular interactions,
G2Vec: Distributed gene representations for identification of cancer prognostic genes,
GVES: machine learning model for identification of prognostic genes with a small dataset,
Improved Prediction of Cancer Outcome Using Graph-Embedded Generative Adversarial Networks,
Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-Directed Molecular Generation,
Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms,
Pseq2Sites: Enhancing protein sequence-based ligand binding-site prediction accuracy via the deep convolutional network and attention mechanism,
ReBADD-SE: Multi-objective molecular optimisation using SELFIES fragment and off-policy self-critical sequence training
Press Enter · cited answer in seconds
0 sources
Summary
Jonghwan Choi is a human[1].