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The document presents CFAGO, a novel protein function prediction method that integrates single-species protein-protein interaction networks and biological attributes using a multi-head attention mechanism. CFAGO is pre-trained with an encoder-decoder architecture and fine-tuned for effective protein representation, outperforming existing methods in benchmark tests on human and mouse datasets. The study highlights the importance of cross-fusion in improving protein function predictions and provides access to

Author

rhutikraktate

Language

EN