Combining Computational Methods for Hit to Lead Optimization in Mycobacterium tuberculosis Drug Discovery

Lignende værker

• Enhancing Hit Identification in Mycobacterium tuberculosis Drug Discovery Using Validated Dual-Event Bayesian Models
  af: Ekins, Sean, et al.
  Udgivet: (2013)
• Computational databases, pathway and cheminformatics tools for tuberculosis drug discovery
  af: Ekins, Sean, et al.
  Udgivet: (2010)
• Fusing Dual-Event Datasets for Mycobacterium Tuberculosis Machine Learning Models and their Evaluation
  af: Ekins, Sean, et al.
  Udgivet: (2013)
• Are Bigger Datasets Better for Machine Learning? Fusing Single-Point and Dual-event Dose Response Data For Mycobacterium tuberculosis
  af: Ekins, Sean, et al.
  Udgivet: (2014)
• Comparing and Validating Machine Learning Models for Mycobacterium tuberculosis Drug Discovery
  af: Lane, Thomas, et al.
  Udgivet: (2018)