Corpus ID: 221949688

GEFA: Early Fusion Approach in Drug-Target Affinity Prediction

@article{Nguyen2020GEFAEF,
  title={GEFA: Early Fusion Approach in Drug-Target Affinity Prediction},
  author={T. Nguyen and Thin Nguyen and T. Le and T. Tran},
  journal={ArXiv},
  year={2020},
  volume={abs/2009.12146}
}
  • T. Nguyen, Thin Nguyen, +1 author T. Tran
  • Published 2020
  • Computer Science, Mathematics
  • ArXiv
  • Predicting the interaction between a compound and a target is crucial for rapid drug repurposing. Deep learning has been successfully applied in drug-target affinity (DTA) problem. However, previous deep learning-based methods ignore modeling the direct interactions between drug and protein residues. This would lead to inaccurate learning of target representation which may change due to the drug binding effects. In addition, previous DTA methods learn protein representation solely based on a… CONTINUE READING

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