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ProtNN: fast and accurate protein 3D-structure classification in structural and topological space.

Wajdi DhifliAbdoulaye Baniré Diallo
Published in: BioData mining (2016)
We demonstrate through an extensive experimental evaluation that ProtNN is able to accurately classify several datasets in an extremely fast runtime compared to state-of-the-art approaches. We further show that ProtNN is able to scale up to a whole PDB dataset in a single-process mode with no parallelization, with a gain of thousands order of magnitude in runtime compared to state-of-the-art approaches.
Keyphrases
  • machine learning
  • deep learning
  • high resolution
  • binding protein
  • mass spectrometry
  • small molecule
  • single cell