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HseSUMO: Sumoylation site prediction using half-sphere exposures of amino acids residues.

Alok SharmaArtem LysenkoYosvany LópezAbdollah DehzangiRonesh SharmaHamendra ReddyAbdul SattarTatsuhiko Tsunoda
Published in: BMC genomics (2019)
The proposed predictor HseSUMO uses half-sphere exposures of amino acids to predict sumoylation sites. It has shown promising results on a benchmark dataset when compared with the state-of-the-art method. The extracted data of this study can be accessed at https://github.com/YosvanyLopez/HseSUMO .
Keyphrases
  • amino acid
  • air pollution
  • electronic health record
  • big data
  • machine learning
  • data analysis
  • artificial intelligence