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Preventing AI From Creating Biochemical Threats.

Fabio UrbinaFilippa LentzosCédric InvernizziSean Ekins
Published in: Journal of chemical information and modeling (2023)
We have previously applied our machine learning models for bioactivity and toxicity along with a generative algorithm to develop VX and tens of thousands of analogues. The publication brought attention to the ease of designing chemical warfare agents. In this Viewpoint, we discuss 10 recommendations to prevent future biochemical threats.
Keyphrases
  • machine learning
  • artificial intelligence
  • deep learning
  • big data
  • working memory
  • oxidative stress
  • current status
  • clinical practice
  • neural network