Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks

In de novo drug design, computational strategies are used to generate novel molecules with good affinity to the desired biological target. In this work, we show that recurrent neural networks can be trained as generative models for molecular structures, similar to statistical language models in natu...

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Bibliographic Details
Main Authors: Marwin H. S. Segler, Thierry Kogej, Christian Tyrchan, Mark P. Waller
Format: Article
Language:English
Published: American Chemical Society 2017-12-01
Series:ACS Central Science
Online Access:http://dx.doi.org/10.1021/acscentsci.7b00512