An ENSEMBLE machine learning approach for the prediction of all-alpha membrane proteins

@article{Martelli2003AnEM,
  title={An ENSEMBLE machine learning approach for the prediction of all-alpha membrane proteins},
  author={Pier Luigi Martelli and Piero Fariselli and Rita Casadio},
  journal={Bioinformatics},
  year={2003},
  volume={19 Suppl 1},
  pages={
          i205-11
        }
}
MOTIVATION All-alpha membrane proteins constitute a functionally relevant subset of the whole proteome. Their content ranges from about 10 to 30% of the cell proteins, based on sequence comparison and specific predictive methods. Due to the paucity of membrane proteins solved with atomic resolution, the training/testing sets of predictive methods for protein topography and topology routinely include very few well-solved structures mixed with a hundred proteins known with low resolution… 
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