Additionally we explored sequence and structural embeddings as a way to encode protein target information. Protein embeddings were generated using three different models: Prot-Bert 43 , ESM2 , and AlphaFold2 45 . The Prot-Bert and ESM2 embeddings were generated using Hugging Face library, with embedding dimensions of 1024 and 1280 per residue, respectively. For structural embeddings, a single representation from AlphaFold2 was extracted during the structure prediction process, which featured an embedding dimension of 384.