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AllesTM: predicting multiple structural features of transmembrane proteins.

Peter HönigschmidStephan BreimannMartina WeiglDmitrij Frishman
Published in: BMC bioinformatics (2020)
In addition to presenting a highly accurate prediction method and eliminating the need to install and maintain many different software tools, we also provide a comprehensive overview of the impact of different machine learning algorithms and parameter choices on the prediction performance. AllesTM is freely available at https://github.com/phngs/allestm.
Keyphrases
  • machine learning
  • artificial intelligence
  • deep learning
  • big data
  • high resolution
  • case report
  • mass spectrometry