Generation of systematic names according to IUPAC nomenclature based on neural network model

SMILES2IUPAC

Our neural network model provides a prediction accuracy rate for each proposed variant. This coefficient allows us to select the most appropriate name, taking into account the structure of the compound and the IUPAC nomenclature rules

The prediction accuracy factor allows the selection of the optimal name

The neural network model is trained to generate names according to IUPAC nomenclature based on the structural formula of the compound

IUPAC generation

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