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Jan 9 2026
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About the Methods Auto using ICM pKa Model The method for pKa prediction is unpublished/proprietary. It is a machine learning (PLS) model based on contributions of various molecular graph fragments to atomic pKa, trained on a carefully curated set of experimental pKa values. NN Assisted pKa Model Equilibrium This is a new neural network model has been introduced for pKa prediction based on a chemical graph convolutional architecture with enhanced propagation through conjugated systems. The model captures long-range electronic effects, improving the treatment of resonance-stabilized functional groups and delocalized charge distributions. Training was performed using MolSoft’s in-house, diverse, manually curated pKa dataset.
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