Generative models for molecular discovery: Recent advances and challenges

Massachusetts Institute of Technology

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Abstract

Abstract Development of new products often relies on the discovery of novel molecules. While conventional molecular design involves using human expertise to propose, synthesize, and test new molecules, this process can be cost and time intensive, limiting the number of molecules that can be reasonably tested. Generative modeling provides an alternative approach to molecular discovery by reformulating molecular design as an inverse design problem. Here, we review the recent advances in the state‐of‐the‐art of generative molecular design and discusses the considerations for integrating these models into real molecular discovery campaigns. We first review the model design choices required to develop and train a…

Citation impact

302
total citations
FWCI
41.25
Percentile
100%
References
116
Citations per year

Authors

5

Topics & keywords

Keywords
  • Generative grammar
  • Computer science
  • Generative Design
  • Generative model
  • Context (archaeology)
  • Artificial intelligence
  • Data science
  • Domain (mathematical analysis)
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