Protein Function Annotation

Protein function annotation aims to accurately predict the biological roles of proteins, crucial for understanding biological processes and developing new technologies. Current research focuses on improving prediction accuracy using deep learning models, particularly those incorporating graph-based approaches, convolutional neural networks, and transformer architectures, often leveraging protein sequence, structure, and genomic context. These advancements are improving the annotation of diverse proteins, including those from understudied organisms like bacteriophages, and facilitating de novo protein design with specified functions. Ultimately, accurate protein function annotation accelerates biological discovery and enables applications in drug development and biotechnology.