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Compound dataset and custom code for deep generative multi-target compound design.

Thomas BlaschkeJürgen Bajorath
Published in: Future science OA (2021)
MT-CPD design via deep learning is still at its conceptual stages. It will be required to demonstrate experimental impact. The data and software we provide enable further investigation of MT-CPD design and generation of candidate molecules for experimental programs.
Keyphrases
  • deep learning
  • public health
  • electronic health record
  • machine learning
  • artificial intelligence
  • data analysis