Decoding critical targets and signaling pathways in EBV-mediated diseases using large language models

Abstract

AbstractEpstein-Barr virus (EBV), a member of the gamma-herpesvirus, is the first identified human oncovirus and is associated with various malignancies. Understanding the intricate interactions between EBV antigens and cellular pathways is crucial to unravel the molecular mechanisms in EBV-mediated diseases. However, fully elucidating EBV-host interactions and the associated pathogenesis remains a significant challenge. In this study, we utilized large language models (LLMs) to screen 36,105 EBV-relevant scientific publications, presenting a descriptive overview of the interactions between EBV antigens and host cellular pathways through comprehensive interaction diagrams. Furthermore, we described the critical roles of EBV antigens by constructing functional subsets of host proteins targeted by EBV antigens and illustrating these interactions through protein-protein interaction (PPI) networks. Finally, our model delineates the core attributes of host proteins targeted by LMP1, providing unique insights into potential therapeutic strategies against EBV- associated diseases.