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Table 13 Mean Δ EF and standard deviation for the bind_fp similarity method (approach B2)

From: Improving structural similarity based virtual screening using background knowledge

 

Bind_fp

DuD set

1%

5%

10%

HMGR

36.5 ± 2.0

20.2 ± 3.2

10.0 ± 2.2

ER

36.8 ± 11.2

20.2 ± 6.0

10.0 ± 3.9

PPAR γ

34.3 ± 5.4

19.6 ± 4.1

6.8 ± 2.3

P38 MAP

20.0 ± 0.0

17.3 ± 6.8

8.6 ± 1.4

TK

36.6 ± 13.7

20.2 ± 12.0

10.1 ± 4.2

FXa

9.9 ± 7.6

8.5 ± 0.0

4.2 ± 0.8

ADA

36.7 ± 8.5

20.1 ± 0.0

10.0 ± 0.9

DHFR

36.5 ± 16.8

20.0 ± 7.9

10.0 ± 1.0

AChE

36.4 ± 6.9

20.1 ± 9.2

10.0 ± 3.2

COX-2

35.7 ± 7.5

19.8 ± 6.2

9.9 ± 1.0

  1. Mean Δ EF and standard deviation for the bind_fp similarity method at 1%, 5% and 10% of the database (receptor specific decoy set DuD set ). The extension fingerprint is calculated from 10% (20% for HMGR, TK and ADA) of the ligands (approach B2). Cases where bind_fp is better than ECFP or MCS are marked with a or °, respectively.