Diffusion models in protein structure and docking

J Yim, H Stärk, G Corso, B Jing… - Wiley …, 2024 - Wiley Online Library
Generative AI is rapidly transforming the frontier of research in computational structural
biology. Indeed, recent successes have substantially advanced protein design and drug …

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

A Morehead, N Giri, J Liu, J Cheng - arXiv preprint arXiv:2405.14108, 2024 - arxiv.org
The effects of ligand binding on protein structures and their in vivo functions carry numerous
implications for modern biomedical research and biotechnology development efforts such as …

Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge

Y Huang, O Zhang, L Wu, C Tan, H Lin, Z Gao… - arXiv preprint arXiv …, 2024 - arxiv.org
Accurate prediction of protein-ligand binding structures, a task known as molecular docking
is crucial for drug design but remains challenging. While deep learning has shown promise …

GeoDirDock: Guiding Docking Along Geodesic Paths

R Miñán, J Gallardo, Á Ciudad, A Molina - arXiv preprint arXiv:2404.06481, 2024 - arxiv.org
This work introduces GeoDirDock (GDD), a novel approach to molecular docking that
enhances the accuracy and physical plausibility of ligand docking predictions. GDD guides …

Harmonic Self-Conditioned Flow Matching for joint Multi-Ligand Docking and Binding Site Design

H Stark, B Jing, R Barzilay, T Jaakkola - Forty-first International Conference … - openreview.net
A significant amount of protein function requires binding small molecules, including
enzymatic catalysis. As such, designing binding pockets for small molecules has several …