Jarett Zida Ren

This paper introduces GCP-VQVAE, a geometry-complete tokenizer for protein structures, achieving state-of-the-art performance on benchmark datasets and demonstrating robust generalization to unseen proteins.

This study evaluates AlphaFold-Multimer, AlphaFold3, and ColabFold for predicting protein-peptide complex structures using Template-Based and Template-Free methods, finding AlphaFold-Multimer excels in Template-Based predictions.