A random forest model for predicting the crystallisability of organic molecules
2015
A random forest model has for the first time enabled the prediction of the crystallisability (crystals vs. no crystals) of organic molecules with ~70% accuracy. The predictive model is based on calculated molecular descriptors and published experimental crystallisation propensities of a library of substituted acylanilides.
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