Predicting residue-residue contact maps by a two-layer, integrated neural-network method

Lignende værker

• 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
  af: Faraggi, Eshel, et al.
  Udgivet: (2009)
• SPINE-D: Accurate Prediction of Short and Long Disordered Regions by a Single Neural-Network Based Method
  af: Zhang, Tuo, et al.
  Udgivet: (2012)
• Direct prediction of profiles of sequences compatible to a protein structure by neural networks with fragment-based local and energy-based nonlocal profiles
  af: Li, Zhixiu, et al.
  Udgivet: (2014)
• Ensembling multiple raw coevolutionary features with deep residual neural networks for contact-map prediction in CASP13
  af: Li, Yang, et al.
  Udgivet: (2019)
• A two-stage approach for improved prediction of residue contact maps
  af: Vullo, Alessandro, et al.
  Udgivet: (2006)