Transformer-based artificial neural networks for the conversion between chemical notations

Transformer-based artificial neural networks for the conversion between chemical notations

Blog Article

Abstract vibrating table for chocolate We developed a Transformer-based artificial neural approach to translate between SMILES and IUPAC chemical notations: Struct2IUPAC and IUPAC2Struct.The overall performance level of our model is comparable to the rule-based solutions.We proved that the accuracy and speed of computations as well as the robustness of the model allow to use it in production.Our showcase demonstrates that a neural-based solution can facilitate rapid development keeping the required level of accuracy.We believe that our findings will inspire other developers to reduce development costs by replacing complex click here rule-based solutions with neural-based ones.