Molecular Fingerprint-based Artificial Neural Networks QSAR for Ligand Biological Activity Predictions

Lignende værker

• Ligand Biological Activity Predictions Using Fingerprint-Based Artificial Neural Networks (FANN-QSAR)
  af: Myint, Kyaw Z., et al.
  Udgivet: (2015)
• Recent Advances in Fragment-Based QSAR and Multi-Dimensional QSAR Methods
  af: Myint, Kyaw Zeyar, et al.
  Udgivet: (2010)
• Examining the critical roles of human CB2 receptor residues Valine 3.32 (113) and Leucine 5.41 (192) in ligand recognition and downstream signaling activities
  af: Alqarni, Mohammed, et al.
  Udgivet: (2014)
• Novel Triaryl Sulfonamide Derivatives as Selective Cannabinoid Receptor 2 Inverse Agonist and Osteoclast Inhibitor: Discovery, Optimization and Biological Evaluation
  af: Yang, Peng, et al.
  Udgivet: (2013)
• Trisubstituted Sulfonamides: A New Chemotype for Development of Potent and Selective CB(2) Receptor Inverse Agonists
  af: Ouyang, Qin, et al.
  Udgivet: (2013)