Protein Classification

Protein classification, the task of assigning proteins to functional categories based on their sequence or structure, is crucial for understanding biological processes and developing new therapeutics. Current research heavily utilizes machine learning, employing diverse architectures such as convolutional neural networks (CNNs), recurrent neural networks (RNNs, including LSTMs), transformer models (like ProtBert), and graph neural networks (GNNs), often within ensemble methods. These models are applied to various data representations, including amino acid sequences treated as text, protein graphs reflecting structural information, and multi-view approaches integrating different data types. Advances in this field directly impact drug discovery, bioinformatics, and our fundamental understanding of biological systems.