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The use of novel selectivity metrics in kinase research.

Nicolas BoscChristophe MeyerPascal Bonnet
Published in: BMC bioinformatics (2017)
We performed a comparative analysis of their respective performance on several data sets against already published selectivity metrics and analyzed how they might influence compound selection. Our results showed that the two new metrics bring additional information to prioritize compound selection. Two novel metrics were developed to better estimate selectivity of compounds screened on multiple proteins.
Keyphrases
  • structural basis
  • electronic health record
  • randomized controlled trial
  • big data
  • systematic review
  • tyrosine kinase
  • health information
  • deep learning