Published January 16, 2015 | Version v1

31 ChEMBL data sets for regression modeling

  • 1. University of Bonn, Germany

Description

From ChEMBL version 17, 31 compound data sets have been selected for regression modeling. Compounds had to be active against human targets in a direct inhibition/binding assay with highest ChEMBL confidence score and Ki values below 100 micromolar. Multiple Ki values for the same compound were averaged if they fell into the same order of magnitude, or else they were disregarded. Duplicates, known pan-assay interference, and other reactive molecules were removed. Only sets with at least 500 compounds were considered.

 

Note: The SD files contain a field "pKi"; note however that this field contains the Ki value in nM units, not the logarithmic value.

Files

DataSets_SVR_modeling.zip

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