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Llama-Affinity: A Predictive Antibody Antigen Binding Model Integrating Antibody Sequences with Llama3 Backbone Architecture

  • Antibody-facilitated immune responses are crucial for defense against pathogens and viruses.
  • Bioengineering advancements have accelerated therapeutic antibody development.
  • AI and machine learning have revolutionized affinity prediction for antibodies.
  • A new model, LlamaAffinity, integrates antibody sequences with Llama 3 backbone architecture.
  • The model outperforms existing methods like AntiFormer and AntiBERTa in affinity prediction.
  • LlamaAffinity achieved high accuracy, F1-score, precision, recall, and AUC-ROC values.
  • It demonstrated computational efficiency with significantly lower training time compared to previous studies.

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