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Biomolecules
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November 27, 2024
Correction: Giri et al. Improving Protein-Ligand Interaction Modeling with cryo-EM Data, Templates, and Deep Learning in 2021 Ligand Model Challenge. <i>Biomolecules</i> 2023, <i>13</i>, 132
Nabin Giri, Jianlin Cheng
Biorxiv : the Preprint Server for Biology
|
January 23, 2024
De Novo Atomic Protein Structure Modeling for Cryo-EM Density Maps Using 3D Transformer and Hidden Markov Model
Nabin Giri, Jianlin Cheng
Biomolecules
|
January 21, 2023
Improving Protein-Ligand Interaction Modeling with cryo-EM Data, Templates, and Deep Learning in 2021 Ligand Model Challenge
Nabin Giri, Jianlin Cheng
Nature Communications
|
July 1, 2024
De novo atomic protein structure modeling for cryoEM density maps using 3D transformer and HMM
Nabin Giri, Jianlin Cheng
Biorxiv : the Preprint Server for Biology
|
July 3, 2023
Cryo2StructData: A Large Labeled Cryo-EM Density Map Dataset for AI-based Modeling of Protein Structures
Nabin Giri, Liguo Wang, Jianlin Cheng
Scientific Data
|
May 6, 2024
Cryo2StructData: A Large Labeled Cryo-EM Density Map Dataset for AI-based Modeling of Protein Structures
Nabin Giri, Liguo Wang, Jianlin Cheng
Current Opinion in Structural Biology
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February 11, 2023
Deep learning for reconstructing protein structures from cryo-EM density maps: Recent advances and future directions
Nabin Giri, Raj S Roy, Jianlin Cheng
Computational and Structural Biotechnology Journal
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July 21, 2025
A labeled dataset for AI-based cryo-EM map enhancement
Nabin Giri, Xiao Chen, Liguo Wang, et al.
Biorxiv : the Preprint Server for Biology
|
April 1, 2025
A Labeled Dataset for AI-based Cryo-EM Map Enhancement
Nabin Giri, Xiao Chen, Liguo Wang, et al.
Nature Machine Intelligence
|
February 2, 2026
Assessing the potential of deep learning for protein-ligand docking
Alex Morehead, Nabin Giri, Jian Liu, et al.
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Showing results (1-10 of 18) with videos related to
Sort By:
Page
of 2
Biomolecules
|
November 27, 2024
Correction: Giri et al. Improving Protein-Ligand Interaction Modeling with cryo-EM Data, Templates, and Deep Learning in 2021 Ligand Model Challenge. <i>Biomolecules</i> 2023, <i>13</i>, 132
Nabin Giri, Jianlin Cheng
Biorxiv : the Preprint Server for Biology
|
January 23, 2024
De Novo Atomic Protein Structure Modeling for Cryo-EM Density Maps Using 3D Transformer and Hidden Markov Model
Nabin Giri, Jianlin Cheng
Biomolecules
|
January 21, 2023
Improving Protein-Ligand Interaction Modeling with cryo-EM Data, Templates, and Deep Learning in 2021 Ligand Model Challenge
Nabin Giri, Jianlin Cheng
Nature Communications
|
July 1, 2024
De novo atomic protein structure modeling for cryoEM density maps using 3D transformer and HMM
Nabin Giri, Jianlin Cheng
Biorxiv : the Preprint Server for Biology
|
July 3, 2023
Cryo2StructData: A Large Labeled Cryo-EM Density Map Dataset for AI-based Modeling of Protein Structures
Nabin Giri, Liguo Wang, Jianlin Cheng
Scientific Data
|
May 6, 2024
Cryo2StructData: A Large Labeled Cryo-EM Density Map Dataset for AI-based Modeling of Protein Structures
Nabin Giri, Liguo Wang, Jianlin Cheng
Current Opinion in Structural Biology
|
February 11, 2023
Deep learning for reconstructing protein structures from cryo-EM density maps: Recent advances and future directions
Nabin Giri, Raj S Roy, Jianlin Cheng
Computational and Structural Biotechnology Journal
|
July 21, 2025
A labeled dataset for AI-based cryo-EM map enhancement
Nabin Giri, Xiao Chen, Liguo Wang, et al.
Biorxiv : the Preprint Server for Biology
|
April 1, 2025
A Labeled Dataset for AI-based Cryo-EM Map Enhancement
Nabin Giri, Xiao Chen, Liguo Wang, et al.
Nature Machine Intelligence
|
February 2, 2026
Assessing the potential of deep learning for protein-ligand docking
Alex Morehead, Nabin Giri, Jian Liu, et al.
Page
of 2