DENVIS: Scalable and High-Throughput Virtual Screening Using Graph Neural Networks with Atomic and Surface Protein Pocket Features

Agamemnon Krasoulis, Nick Antonopoulos, Vassilis Pitsikalis, Stavros Theodorakis. DENVIS: Scalable and High-Throughput Virtual Screening Using Graph Neural Networks with Atomic and Surface Protein Pocket Features. Journal of Chemical Information and Computer Sciences, 62(19):4642-4659, 2022. [doi]

@article{KrasoulisAPT22,
  title = {DENVIS: Scalable and High-Throughput Virtual Screening Using Graph Neural Networks with Atomic and Surface Protein Pocket Features},
  author = {Agamemnon Krasoulis and Nick Antonopoulos and Vassilis Pitsikalis and Stavros Theodorakis},
  year = {2022},
  doi = {10.1021/acs.jcim.2c01057},
  url = {https://doi.org/10.1021/acs.jcim.2c01057},
  researchr = {https://researchr.org/publication/KrasoulisAPT22},
  cites = {0},
  citedby = {0},
  journal = {Journal of Chemical Information and Computer Sciences},
  volume = {62},
  number = {19},
  pages = {4642-4659},
}