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Hahnbeom Park

Showing results (21-30 of 57) with videos related to

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Journal of Chemical Theory and Computation|March 28, 2024
Protein Ensemble Generation Through Variational Autoencoder Latent Space SamplingSanaa Mansoor, Minkyung Baek, Hahnbeom Park, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 7, 2018
Protein homology model refinement by large-scale energy optimizationHahnbeom Park, Sergey Ovchinnikov, David E Kim, et al.
Proteins|September 16, 2017
Automatic structure prediction of oligomeric assemblies using Robetta in CASP12Hahnbeom Park, David E Kim, Sergey Ovchinnikov, et al.
Proteins|September 24, 2017
Protein structure prediction using Rosetta in CASP12Sergey Ovchinnikov, Hahnbeom Park, David E Kim, et al.
Current Opinion in Structural Biology|January 23, 2025
Deep learning methods for proteome-scale interaction predictionMin Su Yoon, Byunghyun Bae, Kunhee Kim, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 4, 2020
Improved protein structure prediction using predicted interresidue orientationsJianyi Yang, Ivan Anishchenko, Hahnbeom Park, et al.
Journal of Chemical Information and Modeling|October 24, 2025
SHARP: Generating Synthesizable Molecules via Fragment-Based Hierarchical Action-Space Reinforcement Learning for Pareto OptimizationJeonghyeon Kim, Seongok Ryu, Woohyeong Lee, et al.
Proteins|July 15, 2011
Refinement of protein termini in template-based modeling using conformational space annealingHahnbeom Park, Junsu Ko, Keehyoung Joo, et al.
Nature Communications|February 27, 2021
Improved protein structure refinement guided by deep learning based accuracy estimationNaozumi Hiranuma, Hahnbeom Park, Minkyung Baek, et al.
Journal of Cheminformatics|July 31, 2025
Deep learning molecular interaction motifs from receptor structures aloneSeeun Kim, Simaek Oh, Hyeonuk Woo, et al.
Pageof 6

Showing results (21-30 of 57) with videos related to

Sort By:
Pageof 6
Journal of Chemical Theory and Computation|March 28, 2024
Protein Ensemble Generation Through Variational Autoencoder Latent Space SamplingSanaa Mansoor, Minkyung Baek, Hahnbeom Park, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 7, 2018
Protein homology model refinement by large-scale energy optimizationHahnbeom Park, Sergey Ovchinnikov, David E Kim, et al.
Proteins|September 16, 2017
Automatic structure prediction of oligomeric assemblies using Robetta in CASP12Hahnbeom Park, David E Kim, Sergey Ovchinnikov, et al.
Proteins|September 24, 2017
Protein structure prediction using Rosetta in CASP12Sergey Ovchinnikov, Hahnbeom Park, David E Kim, et al.
Current Opinion in Structural Biology|January 23, 2025
Deep learning methods for proteome-scale interaction predictionMin Su Yoon, Byunghyun Bae, Kunhee Kim, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 4, 2020
Improved protein structure prediction using predicted interresidue orientationsJianyi Yang, Ivan Anishchenko, Hahnbeom Park, et al.
Journal of Chemical Information and Modeling|October 24, 2025
SHARP: Generating Synthesizable Molecules via Fragment-Based Hierarchical Action-Space Reinforcement Learning for Pareto OptimizationJeonghyeon Kim, Seongok Ryu, Woohyeong Lee, et al.
Proteins|July 15, 2011
Refinement of protein termini in template-based modeling using conformational space annealingHahnbeom Park, Junsu Ko, Keehyoung Joo, et al.
Nature Communications|February 27, 2021
Improved protein structure refinement guided by deep learning based accuracy estimationNaozumi Hiranuma, Hahnbeom Park, Minkyung Baek, et al.
Journal of Cheminformatics|July 31, 2025
Deep learning molecular interaction motifs from receptor structures aloneSeeun Kim, Simaek Oh, Hyeonuk Woo, et al.
Pageof 6