Table 2 Performance of structure-based virtual screening on various receptor models.

From: Improving docking and virtual screening performance using AlphaFold2 multi-state modeling for kinases

 

MSM with TT

MSM with NT

Standard AF2

Crystal structure

AlphaFold3

ADB

BW

ADB

BW

ADB

BW

DUD-E Kinase Subset (25 proteins)

 EF1%

7.2

7.2

8.2

8.0

6.6

7.8

6.5

6.9

 EF5%

3.5

3.7

3.7

3.7

3.5

4.0

3.4

3.5

 EF10%

2.7

2.7

2.6

2.7

2.6

2.9

2.7

2.7

 AUC

0.660

0.639

0.661

0.664

0.659

0.672

0.664

0.664

 BEDROC

0.193

0.196

0.183

0.189

0.183

0.206

0.184

0.185

Average Dissimilarity ≥ 0.7 (14 proteins)

 EF1%

5.3

5.6

6.4

6.9

4.6

5.3

4.5

4.8

 EF5%

3.0

3.1

3.2

3.2

2.8

3.4

2.7

2.9

 EF10%

2.4

2.4

2.2

2.3

2.1

2.6

2.3

2.4

 AUC

0.646

0.652

0.648

0.650

0.641

0.667

0.647

0.648

 BEDROC

0.166

0.171

0.154

0.161

0.146

0.175

0.148

0.151

Average dissimilarity < 0.7 (11 proteins)

 EF1%

9.6

9.3

10.6

9.3

9.1

10.9

9.1

9.5

 EF5%

4.2

4.4

4.4

4.3

4.3

4.8

4.3

4.4

 EF10%

3.0

3.1

3.1

3.1

3.3

3.3

3.2

3.2

 AUC

0.678

0.681

0.678

0.681

0.681

0.679

0.685

0.685

 BEDROC

0.228

0.228

0.220

0.226

0.229

0.245

0.229

0.228