Negin Manshour

S-PLM improves protein language models by integrating 3D structure information through contrastive learning, outperforming sequence-only models in clustering and classification tasks.

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.