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A Deep Learning Bioinformatics Approach to Modeling Protein-Ligand Interaction with cryo-EM Data in 2021 Ligand Model Challenge

View ORCID ProfileNabin Giri, View ORCID ProfileJianlin Cheng
doi: https://doi.org/10.1101/2022.05.27.493799
Nabin Giri
1Department of Electrical Engineering and Computer Science, University of Missouri, Columbia; ,
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  • For correspondence: ngzvh@missouri.edu chengji@missouri.edu
Jianlin Cheng
1Department of Electrical Engineering and Computer Science, University of Missouri, Columbia; ,
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  • For correspondence: chengji@missouri.edu ngzvh@missouri.edu chengji@missouri.edu
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Posted November 22, 2022.
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A Deep Learning Bioinformatics Approach to Modeling Protein-Ligand Interaction with cryo-EM Data in 2021 Ligand Model Challenge
Nabin Giri, Jianlin Cheng
bioRxiv 2022.05.27.493799; doi: https://doi.org/10.1101/2022.05.27.493799
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A Deep Learning Bioinformatics Approach to Modeling Protein-Ligand Interaction with cryo-EM Data in 2021 Ligand Model Challenge
Nabin Giri, Jianlin Cheng
bioRxiv 2022.05.27.493799; doi: https://doi.org/10.1101/2022.05.27.493799

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