Identifying b-cell epitopes using alphafold2 predicted structures and pretrained language model

HIGHLIGHTS

• who: Yuansong Zeng and colleagues from the of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China have published the research: Identifying B-cell epitopes using AlphaFold2 predicted structures and pretrained language model, in the Journal: (JOURNAL)
• what: Based on the recent breakthrough of AlphaFold2 in protein structure prediction the authors propose GraphBepi a novel graph-based model for accurate B-cell epitope prediction. This study proposes a novel method GraphBepi for improving BCEs prediction by considering spatial information.
• how: For further investigating the advantages of antigen geometric information and the edge . . .
  

   

  

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