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Published on: April 13, 2022
De Novo Molecular Design with Chemical Language Models
Francesca Grisoni1,2, Gisbert Schneider3
1ETH Zurich, Department of Chemistry and Applied Biosciences, RETHINK, Zurich, Switzerland. f.grisoni@tue.nl.
Abstract:
Artificial intelligence (AI) offers new possibilities for hit and lead finding in medicinal chemistry. Several instances of AI have been used for prospective de novo drug design. Among these, chemical language models have been shown to perform well in various experimental scenarios. In this study, we provide a hands-on introduction to chemical language modeling. A technique based on recurrent neural networks is discussed in detail, together with a step-by-step guide to applying this AI method for focused compound library design. The program code is freely available at URL: github.com/ETHmodlab/de_novo_design_RNN .
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