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Table 5 Virtual screening performance of support vector machines for identifying Src inhibitors from large compound libraries

From: Development and experimental test of support vector machines virtual screening method for searching Src inhibitors from large compound libraries

Inhibitors in training set

Number of inhibitors

1703

Number of chemical families covered by inhibitors

493

Inhibitors in Testing Set

Number of Inhibitors

44

Number of Chemical Families Covered by Inhibitors

35

Percent of Inhibitors in Chemical Families Covered by Inhibitors in Training Set

51.43%

Virtual Screening Performance

Yield

70.45%

Number and Percent of Identified True Inhibitors Outside Training Chemical Families

15 (34.1%)

Number and Percent of 13.56M PubChemCompounds Identified as Inhibitors

44,843 (0.33%)

Number and Percent of the 168K MDDR Compounds Identified as Inhibitors

1,496 (0.89%)

 

Number and Percent of the 9,305 MDDR Compounds Similar to the Known Inhibitors Identified as Inhibitors

719 (7.73%)