Generative models for molecular discovery: Recent advances and challenges
Massachusetts Institute of Technology
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
- FWCI
- 41.25
- Percentile
- 100%
- References
- 116
Authors
5Topics & keywords
- Generative grammar
- Computer science
- Generative Design
- Generative model
- Context (archaeology)
- Artificial intelligence
- Data science
- Domain (mathematical analysis)