A new study explores the potential of Protein Transformers in capturing biological intelligence among protein sequences.
The study introduces a protein function dataset named Protein-FN containing over 9000 protein data with meaningful labels.
A new Transformer architecture called Sequence Protein Transformers (SPT) is developed for efficient protein function predictions.
The research also introduces an Explainable Artificial Intelligence (XAI) technique called Sequence Score to interpret the decision-making processes of protein models, demonstrating promising results.