RAACMetal: Reduced Amino Acid Framework for Integrated Classification and Binding-Site Prediction of Metal Ion–Binding Proteins

RAACMetal is an integrated platform that enables metal-binding protein classification and metal ion binding site prediction. It consists of two complementary modules: RmiC and RmiScout. Accurate prediction of metal-binding proteins and their binding sites is critical for understanding protein function, elucidating catalytic mechanisms, and guiding metallodrug development. Existing sequence-based methods often rely on structural information and face challenges in handling multiple ion types simultaneously. RAACMetal combines Reduced Amino Acid Codes (RAAC) with advanced machine learning and deep learning algorithms to achieve sequence-based, multi-metal, high-precision predictions from the protein level to the residue level.