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Table 2 The comparison of the performance of the Morgan2 (ECFP4) and b-QAFFP fingerprints for similarity searching for 37 HOM data sets

From: QSAR-derived affinity fingerprints (part 1): fingerprint construction and modeling performance for similarity searching, bioactivity classification and scaffold hopping

FP

Morgan2

b-QAFFP

AD

–

No

Yes

Cutoff

–

5

6

7

8

5

6

7

8

AUC

0.57 ± 0.02

0.61 ± 0.02

0.58 ± 0.03

0.61 ± 0.02

0.57 ± 0.02

0.65 ± 0.02

0.59 ± 0.02

0.61 ± 0.02

0.56 ± 0.02

EF5

4.09 ± 0.42

3.44 ± 0.30

3.52 ± 0.47

3.88 ± 0.54

2.33 ± 0.24

4.67 ± 0.53

3.56 ± 0.51

3.39 ± 0.53

1.81 ± 0.21

  1. Model AD was estimated by an ICP. Affinities predicted to lie outside model AD were encoded by zeros. Various affinity cutoffs were used to construct the b-QAFFP fingerprint. Best results are shown in a column in italic. Data shown are averages over all HOM data sets with their standard errors of the mean. The b-QAFFP fingerprint is 402 bits long