Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning

Lignende værker

• Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features
  af: Dehzangi, Abdollah, et al.
  Udgivet: (2015)
• Proposing a highly accurate protein structural class predictor using segmentation-based features
  af: Dehzangi, Abdollah, et al.
  Udgivet: (2014)
• Sixty-five years of the long march in protein secondary structure prediction: the final stretch?
  af: Yang, Yuedong, et al.
  Udgivet: (2016)
• SPINE X: Improving protein secondary structure prediction by multi-step learning coupled with prediction of solvent accessible surface area and backbone torsion angles
  af: Faraggi, Eshel, et al.
  Udgivet: (2011)
• Enhancing protein backbone angle prediction by using simpler models of deep neural networks
  af: Mataeimoghadam, Fereshteh, et al.
  Udgivet: (2020)