LIBRUS: combined machine learning and homology information for sequence-based ligand-binding residue prediction

Lignende værker

• Development of a Machine Learning Method to Predict Membrane Protein-Ligand Binding Residues Using Basic Sequence Information
  af: Suresh, M. Xavier, et al.
  Udgivet: (2015)
• RNABindRPlus: A Predictor that Combines Machine Learning and Sequence Homology-Based Methods to Improve the Reliability of Predicted RNA-Binding Residues in Proteins
  af: Walia, Rasna R., et al.
  Udgivet: (2014)
• HemeBIND: a novel method for heme binding residue prediction by combining structural and sequence information
  af: Liu, Rong, et al.
  Udgivet: (2011)
• LigandRFs: random forest ensemble to identify ligand-binding residues from sequence information alone
  af: Chen, Peng, et al.
  Udgivet: (2014)
• Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms
  af: Seo, Sangmin, et al.
  Udgivet: (2018)