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A Quantitative Structure-Activity Relationship for Human Plasma Protein Binding: Prediction, Validation and Applicability Domain.

Affaf KhaouaneSamira FerhatSalah Hanini
Published in: Advanced pharmaceutical bulletin (2023)
The study successfully developed an advanced QSAR-neural network model capable of predicting plasma protein binding in human plasma for a diverse set of 277 drugs. This model's accuracy and robustness make it a valuable tool in drug discovery, potentially reducing the need for resource-intensive chemical synthesis and laboratory testing.
Keyphrases
  • structure activity relationship
  • drug discovery
  • neural network
  • binding protein
  • protein protein
  • molecular docking
  • dna binding
  • high resolution
  • molecular dynamics
  • molecular dynamics simulations