Andrey Tovchigrechko

FrameDiPT is a diffusion model for protein structure inpainting that recovers masked sections using sequence and structural context, achieving comparable accuracy to existing models with limited data.

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.