Saint-angle: self-attention augmented inception-inside- inception network and transfer learning improve protein backbone torsion angle prediction

HIGHLIGHTS

• who: Bioinformatics Advances et al. from the Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh have published the research work: SAINT-Angle: self-attention augmented inception-inside- inception network and transfer learning improve protein backbone torsion angle prediction, in the Journal: (JOURNAL)
• what: Features extracted from ProtT5-XL-UniRef50 language model were used in the experiments because, in general, these features from protein language models, including ProtTrans and ESM1b (Rao et_al, 2021), were shown to contribute to improving the performance of methods on residue-level prediction tasks (Mahbub and . . .
  

   

  

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