21 citations · 31 across the 4 of their papers we have counts for
4 papers
Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design
Leo Klarner, Tim G. J. Rudner, Garrett M. Morris +2
Generative models have the potential to accelerate key steps in the discovery of novel molecular therapeutics and materials. Diffusion models have recently emerged as a powerful ap…
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…
Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions
Leo Klarner, Tim G. J. Rudner, Michael Reutlinger +4
Accelerating the discovery of novel and more effective therapeutics is an important pharmaceutical problem in which deep learning is playing an increasingly significant role. Howev…