"Found in Translation": Predicting Outcomes of Complex Organic Chemistry Reactions using Neural Sequence-to-Sequence Models

Using a text-based representation of molecules, chemical reactions are predicted with a neural machine translation model borrowed from language processing.

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Patents near this paper

SYSTEMS AND METHODS FOR PREDICTING CHEMICAL REACTIONSUS 10,622,098 · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · 2020 PROCESSING TEXT SEQUENCES USING NEURAL NETWORKSUS 10,354,015 · DEEPMIND TECHNOLOGIES LIMITED · 2019 SEQUENCE-BASED STRUCTURED PREDICTION FOR SEMANTIC PARSINGUS 9,830,315 · XEROX CORPORATION · 2017 MACHINE-LEARNING APPROACH TO MODELING BIOLOGICAL ACTIVITIY FOR MOLECULAR DESIGN AND TO MODELING OTHER CHARACTERISTICSUS 5,526,281 · AXYS PHARMACEUTICALS, INC. · 1996 MACHINE TRANSLATION USING NEURAL NETWORK MODELSUS 11,138,392 · GOOGLE LLC · 2021

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