2 papers
q-bio.BM2023★ 21 cited
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…
hep-ph2021
Machine learning a manifold
Sean Craven, Djuna Croon, Daniel Cutting +1
We propose a simple method to identify a continuous Lie algebra symmetry in a dataset through regression by an artificial neural network. Our proposal takes advantage of the $ \mat…