Hahnbeom Park
Affiliations: | Seoul National University, Seoul, South Korea |
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Publications
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| Mansoor S, Baek M, Park H, et al. (2024) Protein Ensemble Generation Through Variational Autoencoder Latent Space Sampling. Journal of Chemical Theory and Computation |
| Choi C, Bae J, Kim S, et al. (2023) Understanding the molecular mechanisms of odorant binding and activation of the human OR52 family. Nature Communications. 14: 8105 |
| Lee S, Seok C, Park H. (2023) Benchmarking applicability of medium-resolution cryo-EM protein structures for structure-based drug design. Journal of Computational Chemistry |
| Lee S, Kim S, Lee GR, et al. (2022) Evaluating GPCR modeling and docking strategies in the era of deep learning-based protein structure prediction. Computational and Structural Biotechnology Journal. 21: 158-167 |
| Anishchenko I, Baek M, Park H, et al. (2021) Protein tertiary structure prediction and refinement using deep learning and Rosetta in CASP14. Proteins |
| Baek M, Anishchenko I, Park H, et al. (2021) Protein oligomer modeling guided by predicted inter-chain contacts in CASP14. Proteins |
| Baek M, DiMaio F, Anishchenko I, et al. (2021) Accurate prediction of protein structures and interactions using a three-track neural network. Science (New York, N.Y.) |
| Hiranuma N, Park H, Baek M, et al. (2021) Improved protein structure refinement guided by deep learning based accuracy estimation. Nature Communications. 12: 1340 |
| Park H, Zhou G, Baek M, et al. (2021) Force Field Optimization Guided by Small Molecule Crystal Lattice Data Enables Consistent Sub-Angstrom Protein-Ligand Docking. Journal of Chemical Theory and Computation |
| Pavlovicz RE, Park H, DiMaio F. (2020) Efficient consideration of coordinated water molecules improves computational protein-protein and protein-ligand docking discrimination. Plos Computational Biology. 16: e1008103 |