PeptideSGCL Advances Bioactivity Prediction via Graph Transformers
PeptideSGCL introduces a structure-enhanced graph-transformer approach that surpasses early QSAR and conventional machine learning methods for peptide activity prediction, with strong potential to accelerate peptide drug discovery and design.



