Accurate single-sequence prediction of solvent accessible surface area using local and global features

Podobne zapisy

• SPINE X: Improving protein secondary structure prediction by multi-step learning coupled with prediction of solvent accessible surface area and backbone torsion angles
  od: Faraggi, Eshel, i wsp.
  Wydane: (2011)
• Solvent accessible surface area approximations for rapid and accurate protein structure prediction
  od: Durham, Elizabeth, i wsp.
  Wydane: (2009)
• Improving the prediction accuracy of residue solvent accessibility and real-value backbone torsion angles of proteins by guided-learning through a two-layer neural network
  od: Faraggi, Eshel, i wsp.
  Wydane: (2009)
• Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning
  od: Heffernan, Rhys, i wsp.
  Wydane: (2015)
• GENN: A GEneral Neural Network forLearning Tabulated Data With Examples From Protein Structure Prediction
  od: Faraggi, Eshel, i wsp.
  Wydane: (2015)