Goproformer: a multi-modal transformer method for gene ontology protein function prediction

HIGHLIGHTS

• who: Anowarul Kabir and Amarda Shehu from the Department of Computer Science, George Mason University, Fairfax, VA, USA have published the research work: GOProFormer: A Multi-Modal Transformer Method for Gene Ontology Protein Function Prediction, in the Journal: Biomolecules 2022, 12, 1709. of 18/Nov/2022
• what: The paper shows that existing approaches under- or over-estimate the generalization power of a model. The authors focus on challenging, community-driven instantiation of protein function prediction that utilizes the gene ontology (GO) hierarchy. The study shows that the model can capture evolutionary dynamics and timescales. The . . .
  

   

  

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