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Open-source QSAR models for pKa prediction using multiple machine learning approaches.

Kamel MansouriNeal F CarielloAlexandru KorotcovValery TkachenkoChristopher M GrulkeCatherine S SprankleDavid AllenWarren M CaseyNicole C KleinstreuerAntony J Williams
Published in: Journal of cheminformatics (2019)
This work provides multiple QSAR models to predict the strongest acidic and strongest basic pKas of chemicals, built using publicly available data, and provided as free and open-source software on GitHub.
Keyphrases
  • molecular docking
  • machine learning
  • molecular dynamics
  • big data
  • structure activity relationship
  • electronic health record
  • artificial intelligence
  • data analysis
  • ionic liquid
  • molecular dynamics simulations