Nabin Giri

DRLComplex: Reconstruction of protein quaternary structures using deep reinforcement learning

Jianlin Cheng, Alex Morehead, Farhan Quadir, 2022, ArXiv.

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

Jianlin Cheng, Rajashree Roy, Nabin Giri, 2022, Current opinion in structural biology.

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

Jianlin Cheng, Nabin Giri, 2022, bioRxiv.

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

Jianlin Cheng, Ada Sedova, Jeffrey Skolnick, 2021, Workshop on Machine Learning in High Performance Computing Environments.

Cryo2Struct : A Large Labeled Cryo-EM Density Map Dataset for AI-based Reconstruction of Protein Structures

Jianlin Cheng, Nabin Giri, 2023, bioRxiv.

Improving Protein–Ligand Interaction Modeling with cryo-EM Data, Templates, and Deep Learning in 2021 Ligand Model Challenge

Jianlin Cheng, Nabin Giri, 2022, bioRxiv.

Impact of AlphaFold on structure prediction of protein complexes: The CASP15‐CAPRI experiment

Johnathan D. Guest, Adam K. Sieradzan, Charles W Christoffer, 2023, Proteins.

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

Alex Morehead, Jian Liu, Nabin Giri, 2024, ArXiv.