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Table 5 ROC Analysis for the Rost and Sander Dataset. Analysis of the performance of different similarity measures in terms of AUC values for each SCOP classification level using the Rost and Sander dataset. The Consensus measures are composed of aCE/Z, DaliLite/Z, FAST/Align, MaxCMO/Overlap, TM-align/TM, and USM/USM for the Class and Species level, and CE/Z, DaliLite/Z, FAST/SN, MaxCMO/Overlap, TM-align/TM, and USM/USM for all remaining levels, bFAST/Align, FAST/SN, and DaliLite/Z for the Class level, and CE/Z, Dali/Z, and Dali/Align for all remaining levels, and cFAST/Align and FAST/SN for the Class level, and CE/Z and Dali/Z for all remaining levels.

From: ProCKSI: a decision support system for Protein (Structure) Comparison, Knowledge, Similarity and Information

Method

Measure

AUC Values for SCOP Classification Level

  

Class

Fold

Superfamily

Family

Protein

Species

CE

RMSD

0.574

0.776

0.754

0.718

0.625

0.626

 

Align

0.694

0.704

0.660

0.643

0.503

0.486

 

Z

0.712

0.848

0.838

0.826

0.769

0.759

DaliLite

RMSD

0.677

0.807

0.794

0.786

0.746

0.751

 

Align

0.693

0.827

0.807

0.792

0.755

0.759

 

Z

0.696

0.846

0.830

0.817

0.792

0.797

FAST

RMSD

0.454

0.530

0.514

0.490

0.322

0.303

 

Align

0.770

0.800

0.773

0.757

0.684

0.672

 

SN

0.747

0.802

0.779

0.761

0.684

0.671

MaxCMO

Align

0.665

0.685

0.687

0.730

0.672

0.667

 

Overlap

0.682

0.751

0.743

0.769

0.706

0.693

TM-align

RMSD

0.475

0.624

0.602

0.550

0.354

0.336

 

Align

0.695

0.747

0.733

0.741

0.656

0.645

 

TM

0.705

0.773

0.756

0.751

0.673

0.666

USM

USM

0.678

0.686

0.680

0.683

0.578

0.566

Consensus

All

0.764

0.816

0.797

0.793

0.724

0.712

 

BestOfEacha

0.759

0.818

0.804

0.803

0.746

0.740

 

Best3b

0.780

0.865

0.854

0.847

0.710

0.806

 

Best2c

0.725

0.863

0.855

0.845

0.799

0.791