Nabin Giri

Postdoc, Computational Bioscience, Lawrence Berkeley National Lab

Joined

May 2022

Names

Nabin Giri (Preferred)

Emails

****@missouri.edu (Confirmed)

****@lbl.gov (Confirmed)

Personal Links

Career & Education History

Postdoc

Computational Bioscience, Lawrence Berkeley National Lab (lbl.gov)

2025 – 2027

Advisors, Relations & Conflicts

Postdoc Advisor

Kristofer Bouchard

2025 – Present

PhD Advisor

Jianlin Cheng

2021 – 2025

Expertise

AI for Computational Biology

2021 – Present

Publications

Assessing the potential of deep learning for protein–ligand docking
Alex Morehead, Nabin Giri, Jian Liu, Pawan Neupane, Jianlin Cheng
- Nature Machine Intelligence
- Readers: Everyone
Deep Learning for Protein-Ligand Docking: Are We There Yet?
Alex Morehead, Nabin Giri, Jian Liu, Jianlin Cheng
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Deep Learning for Protein-Ligand Docking: Are We There Yet?
Alex Morehead, Nabin Giri, Jian Liu, Jianlin Cheng
- ICML2024-AI4Science Spotlight
- Readers: Everyone
Deep Learning for Protein-Ligand Docking: Are We There Yet?
Alex Morehead, Nabin Giri, Jian Liu, Jianlin Cheng
- CoRR 2024
- Readers: Everyone
Deep learning for reconstructing protein structures from cryo-EM density maps: recent advances and future directions
Nabin Giri, Raj S. Roy, Jianlin Cheng
- CoRR 2022
- Readers: Everyone
DRLComplex: Reconstruction of protein quaternary structures using deep reinforcement learning
Elham Soltanikazemi, Raj S. Roy, Farhan Quadir, Nabin Giri, Alex Morehead, Jianlin Cheng
- 2022 (modified: 19 Jan 2023)
- CoRR 2022
- Readers: Everyone
High-Performance Deep Learning Toolbox for Genome-Scale Prediction of Protein Structure and Function
Mu Gao, Peik Lund-Andersen, Alex Morehead, Sajid Mahmud, Chen Chen, Xiao Chen, Nabin Giri, Raj S. Roy, Farhan Quadir, T. Chad Effler, Ryan Prout, Subil Abraham, Wael R. Elwasif, Nicholas Quentin Haas, Jeffrey Skolnick, Jianlin Cheng, Ada Sedova
- 2021 (modified: 17 May 2022)
- MLHPC@SC 2021
- Readers: Everyone

Nabin Giri

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Assessing the potential of deep learning for protein–ligand docking

Deep Learning for Protein-Ligand Docking: Are We There Yet?

Deep Learning for Protein-Ligand Docking: Are We There Yet?

Deep Learning for Protein-Ligand Docking: Are We There Yet?

Deep learning for reconstructing protein structures from cryo-EM density maps: recent advances and future directions

DRLComplex: Reconstruction of protein quaternary structures using deep reinforcement learning

High-Performance Deep Learning Toolbox for Genome-Scale Prediction of Protein Structure and Function

Co-Authors