Chun Chan

NEOM improves neoantigen selection by integrating multiple strategies to enhance peptide binding affinity and immunogenic potential.

This study compares computational methods for calculating antibody binding affinities and finds equilibrium MMPBSA outperforms other methods for a specific antibody-peptide system.

AlphaVacc optimizes neoantigen peptides using deep reinforcement learning, improving binding affinity and T cell response in experimental validation.

The paper determines the architecture of the nuclear ring in Xenopus laevis NPC using cryo-EM, homology modeling, and cell experiments, identifying key proteins and their roles in NPC assembly.