MONN: A Multi-objective Neural Network for Predicting Pairwise Non-covalent Interactions and Binding Affinities Between Compounds and Proteins

Shuya Li, Fangping Wan, Hantao Shu, Tao Jiang, Dan Zhao, Jianyang Zeng. MONN: A Multi-objective Neural Network for Predicting Pairwise Non-covalent Interactions and Binding Affinities Between Compounds and Proteins. In Russell Schwartz, editor, Research in Computational Molecular Biology - 24th Annual International Conference, RECOMB 2020, Padua, Italy, May 10-13, 2020, Proceedings. Volume 12074 of Lecture Notes in Computer Science, pages 259-260, Springer, 2020. [doi]

@inproceedings{LiWSJZZ20,
  title = {MONN: A Multi-objective Neural Network for Predicting Pairwise Non-covalent Interactions and Binding Affinities Between Compounds and Proteins},
  author = {Shuya Li and Fangping Wan and Hantao Shu and Tao Jiang and Dan Zhao and Jianyang Zeng},
  year = {2020},
  doi = {10.1007/978-3-030-45257-5_29},
  url = {https://doi.org/10.1007/978-3-030-45257-5_29},
  researchr = {https://researchr.org/publication/LiWSJZZ20},
  cites = {0},
  citedby = {0},
  pages = {259-260},
  booktitle = {Research in Computational Molecular Biology - 24th Annual International Conference, RECOMB 2020, Padua, Italy, May 10-13, 2020, Proceedings},
  editor = {Russell Schwartz},
  volume = {12074},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-45257-5},
}