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 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 8 Piece Full Bookcase Bed Bedroom Package 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 Cable Ties accuracy.

We believe that our findings will inspire other developers to reduce development costs by replacing complex rule-based solutions with neural-based ones.