70 citations · 83 across the 4 of their papers we have counts for
4 papers
Yeti: A compact protein structure tokenizer for reconstruction and multi-modal generation
Nabin Giri, Steven Farrell, Kristofer E. Bouchard
Multimodal models that jointly reason over protein sequences, structures, and function annotations within a unified representation hold immense potential for integrating multimodal…
Assessing the potential of deep learning for protein-ligand docking
Alex Morehead, Nabin Giri, Jian Liu +2
The effects of ligand binding on protein structures and their in vivo functions carry numerous implications for modern biomedical research and biotechnology development efforts suc…
Deep learning for reconstructing protein structures from cryo-EM density maps: recent advances and future directions
Nabin Giri, Raj S. Roy, Jianlin Cheng
Cryo-Electron Microscopy (cryo-EM) has emerged as a key technology to determine the structure of proteins, particularly large protein complexes and assemblies in recent years. A ke…
DRLComplex: Reconstruction of protein quaternary structures using deep reinforcement learning
Elham Soltanikazemi, Raj S. Roy, Farhan Quadir +3
Predicted inter-chain residue-residue contacts can be used to build the quaternary structure of protein complexes from scratch. However, only a small number of methods have been de…