13 citations · 26 across the 4 of their papers we have counts for
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q-bio.BM2026
Correcting the Dropout-LayerNorm Expectation Gap Improves Protein Structure Models
Isaac Ellmen, David Errington, Matthew I. J. Raybould +1
Although , here we show that is not equal to . Accordingly, the pa…
q-bio.BM2024★ 3 cited
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…
q-bio.BM2024★ 10 cited
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…