TopP-S: Persistent homology-based multi-task deep neural networks for simultaneous predictions of partition coefficient and aqueous solubility

Kedi Wu, Zhixiong Zhao, Renxiao Wang, Guo-Wei Wei. TopP-S: Persistent homology-based multi-task deep neural networks for simultaneous predictions of partition coefficient and aqueous solubility. Journal of Computational Chemistry, 39(20):1444-1454, 2018. [doi]

@article{WuZWW18-2,
  title = {TopP-S: Persistent homology-based multi-task deep neural networks for simultaneous predictions of partition coefficient and aqueous solubility},
  author = {Kedi Wu and Zhixiong Zhao and Renxiao Wang and Guo-Wei Wei},
  year = {2018},
  doi = {10.1002/jcc.25213},
  url = {https://doi.org/10.1002/jcc.25213},
  researchr = {https://researchr.org/publication/WuZWW18-2},
  cites = {0},
  citedby = {0},
  journal = {Journal of Computational Chemistry},
  volume = {39},
  number = {20},
  pages = {1444-1454},
}