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Assessing the anticholinergic cognitive burden classification of putative anticholinergic drugs using drug properties.

Geofrey Oteng PhutietsileNikoletta FotakiPrasad S Nishtala
Published in: British journal of clinical pharmacology (2024)
Our findings suggest that the commonly used ACB scale may misclassify certain drugs due to their inability to cross the BBB. By contrast, the ATS scale would misclassify drugs solely depending on muscarinic binding affinity without considering other drug properties. Machine learning models can be trained on these features to build classification models that are easy to update and have greater generalizability.
Keyphrases
  • machine learning
  • deep learning
  • drug induced
  • artificial intelligence
  • magnetic resonance
  • big data
  • blood brain barrier
  • resistance training
  • transcription factor
  • binding protein
  • dna binding
  • high intensity