TAWFN: A Deep Learning Framework for Protein Function Prediction

Proteins play pivotal roles in biological systems, and precise prediction of their functions is indispensable for practical applications. Despite the surge in protein sequence data facilitated by high-throughput techniques, unraveling the exact functionalities of proteins still demands considerable time and resources. Currently, numerous methods rely on protein sequences for prediction, while methods targeting protein structures are scarce, often employing Convolutional Neural Networks (CNN) or Graph Convolutional Networks (GCN) individually.