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Molecular similarity in chemical informatics and predictive toxicity modeling: from quantitative read-across (q-RA) to quantitative read-across structure–activity relationship (q-RASAR) with the application of machine learning

  • Arkaprava Banerjee
  • , Supratik Kar
  • , Kunal Roy
  • , Grace Patlewicz
  • , Nathaniel Charest
  • , Emilio Benfenati
  • , Mark T.D. Cronin
  • Jadavpur University
  • United States Environmental Protection Agency
  • IRCCS Istituto di ricerche farmacologiche Mario Negri - Milano, Bergamo, Ranica
  • Liverpool John Moores University

Research output: Contribution to journal › Review article › peer-review

35 Scopus citations

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Pharmacology, Toxicology and Pharmaceutical Science