3Dloop-FPSSM: Predicting Protein–Protein Interactions by Fusing 3D Local Optimal Oriented Pattern and Folded Position-Specific Scoring Matrix
This study introduces a novel sequence-based framework for PPI prediction, which combines position-specific scoring matrices (PSSMs), 3D local optimal orientation patterns (3Dloop), and histogram gradient boosting (HistGB) and shows that the approach provides a reliable and efficient solution for PPI prediction.