Paper

Mapping the space of chemical reactions using attention-based neural networks

Published Aug 7, 2020 · P. Schwaller, Daniel Probst, Alain C. Vaucher

Nature Machine Intelligence

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Abstract

Abstract hidden due to publisher request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.

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Study Snapshot

Transformer-based models can accurately infer reaction classes from non-annotated, simple text-based representations of chemical reactions, providing insights into reaction space.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Mapping the space of chemical reactions using attention-based neural networks

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