Antoine P. Delaunay

The paper benchmarks nine protein folding models on 20 monomeric proteins, showing Chai-1 excels in recovering conformations and capturing dynamics for Adenylate Kinase.

LightMHC predicts full-atom pMHC structures from sequences using a lightweight model with attention mechanisms, achieving comparable performance to AlphaFold 2 and ESMFold with faster speed.

The paper introduces a graph neural network for peptide-MHC structure prediction, achieving accuracy comparable to AlphaFold 2 with significantly fewer parameters.