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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
doi: https://doi.org/10.1101/2022.05.27.493799

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doi 
https://doi.org/10.1101/2022.05.27.493799
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  • November 22, 2022.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

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  1. Nabin Giri1,† and
  2. Jianlin Cheng1,†,*
  1. 1Department of Electrical Engineering and Computer Science, University of Missouri, Columbia; ngzvh{at}missouri.edu, chengji{at}missouri.edu
  1. ↵*Correspondence: chengji{at}missouri.edu.

  • ↵† Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, USA.

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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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