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— HSPs, SP & LogP prediction
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This search function is to predict Hansen's SPs (HSPs), Hildebrand's SP (SP) & Crippen's LogP (MolLogP) with ip-DNN (in-phases deep neural network) models which is our special method of DNN.
In this database, HSPs are literature values, SP(s) are calculated from HSPs, which formula is (dD2+dH2+dP2)0.5, and Crippen’s LogP(s) are calculated from SMILES with RDKIT tool.
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