AIPFusion-Net: an interaction-fusion framework for anti-inflammatory peptide prediction using protein language model embeddings, local sequence patterns, and handcrafted descriptors
Anti-inflammatory peptides (AIPs) are promising candidates for treating inflammatory diseases. However, experimental identification is time-consuming and costly, creating a need for accurate computational prediction methods. We developed AIPFusion-Net, an interaction-fusion framework that integrates three co...