Gyu Rie Lee
Affiliations: | Seoul National University, Seoul, South Korea |
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Publications
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| Anishchenko I, Kipnis Y, Kalvet I, et al. (2024) Modeling protein-small molecule conformational ensembles with ChemNet. Biorxiv : the Preprint Server For Biology |
| Mansoor S, Baek M, Park H, et al. (2024) Protein Ensemble Generation Through Variational Autoencoder Latent Space Sampling. Journal of Chemical Theory and Computation |
| Krishna R, Wang J, Ahern W, et al. (2024) Generalized biomolecular modeling and design with RoseTTAFold All-Atom. Science (New York, N.Y.). eadl2528 |
| 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 |
| 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.) |
| An L, Lee GR. (2020) De Novo Protein Design Using the Blueprint Builder in Rosetta. Current Protocols in Protein Science. 102: e116 |
| Park H, Lee GR, Kim DE, et al. (2019) High-accuracy refinement using Rosetta in CASP13. Proteins |
| Lee GR, Won J, Heo L, et al. (2019) GalaxyRefine2: simultaneous refinement of inaccurate local regions and overall protein structure. Nucleic Acids Research |
| Bang I, Kim HR, Beaven AH, et al. (2018) Biophysical and functional characterization of Norrin signaling through Frizzled4. Proceedings of the National Academy of Sciences of the United States of America |
| Keasar C, McGuffin LJ, Wallner B, et al. (2018) An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12. Scientific Reports. 8: 9939 |