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The model for the identification of potential disconnection sites is trained on novel molecular substructure fingerprint representations. For each of the disconnections suggested using the model, a simple structural similarity-based reactant retrieval and scoring method is applied, and the suggestions are completed. This method achieves 47.2% top-1 accuracy for the single-step retrosynthesis task on the processed United States Patent Office dataset. Furthermore, if the predicted reaction class is used to narrow down the reactant candida
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