Usman L. Abbas

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

The paper evaluates AlphaFold2's fairness in predicting protein 3D structures by analyzing PLDDT score variability across amino acid types, secondary structures, and sequence lengths, revealing systematic biases.