21 citations · 43 across the 5 of their papers we have counts for
5 papers
Assessing interaction recovery of predicted protein-ligand poses
David Errington, Constantin Schneider, Cédric Bouysset +1
The field of protein-ligand pose prediction has seen significant advances in recent years, with machine learning-based methods now being commonly used in lieu of classical docking…
ABodyBuilder3: Improved and scalable antibody structure predictions
Henry Kenlay, Frédéric A. Dreyer, Daniel Cutting +2
Accurate prediction of antibody structure is a central task in the design and development of monoclonal antibodies, notably to understand both their developability and their bindin…
De novo antibody design with SE(3) diffusion
Daniel Cutting, Frédéric A. Dreyer, David Errington +2
We introduce IgDiff, an antibody variable domain diffusion model based on a general protein backbone diffusion framework which was extended to handle multiple chains. Assessing the…
Large scale paired antibody language models
Henry Kenlay, Frédéric A. Dreyer, Aleksandr Kovaltsuk +3
Antibodies are proteins produced by the immune system that can identify and neutralise a wide variety of antigens with high specificity and affinity, and constitute the most succes…
Inverse folding for antibody sequence design using deep learning
Frédéric A. Dreyer, Daniel Cutting, Constantin Schneider +2
We consider the problem of antibody sequence design given 3D structural information. Building on previous work, we propose a fine-tuned inverse folding model that is specifically o…