TransformerCPI: improving compound-protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments

Lifan Chen, Xiaoqin Tan, Dingyan Wang, Feisheng Zhong, Xiaohong Liu, Tianbiao Yang, Xiaomin Luo, Kaixian Chen, Hualiang Jiang, Mingyue Zheng, Arne Elofsson. TransformerCPI: improving compound-protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments. Bioinformatics, 36(16):4406-4414, 2020. [doi]

@article{ChenTWZLYLCJZE20,
  title = {TransformerCPI: improving compound-protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments},
  author = {Lifan Chen and Xiaoqin Tan and Dingyan Wang and Feisheng Zhong and Xiaohong Liu and Tianbiao Yang and Xiaomin Luo and Kaixian Chen and Hualiang Jiang and Mingyue Zheng and Arne Elofsson},
  year = {2020},
  doi = {10.1093/bioinformatics/btaa524},
  url = {https://doi.org/10.1093/bioinformatics/btaa524},
  researchr = {https://researchr.org/publication/ChenTWZLYLCJZE20},
  cites = {0},
  citedby = {0},
  journal = {Bioinformatics},
  volume = {36},
  number = {16},
  pages = {4406-4414},
}