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Table 7 Results on the protein-protein docking benchmark 2.0 dataset.

From: Exploiting residue-level and profile-level interface propensities for usage in binding sites prediction of proteins

Subset

No. of Protein

Methoda

Precision

Recall

F1

Accuracy

CC

Rigid body

63

AA

0.393

0.447

0.418

0.848

0.301

  

BP

0.446

0.495

0.469

0.857

0.328

Medium difficult

13

AA

0.356

0.405

0.379

0.810

0.258

  

BP

0.412

0.464

0.436

0.821

0.271

Difficult

8

AA

0.362

0.384

0.372

0.813

0.299

  

BP

0.409

0.427

0.428

0.819

0.317

All

84

AA

0.370

0.412

0.390

0.824

0.286

  

BP

0.422

0.462

0.441

0.832

0.305

  1. aAA, the classifiers with residue interface propensities as extra features; BP, the classifiers with binary profile interface propensities as extra features.
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BMC Bioinformatics

ISSN: 1471-2105

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