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Table 8 Comparison of SCOP folds and hierarchical clusters.

From: Automatic classification of protein structures using low-dimensional structure space mappings

Cluster mapping

Max deg.

Mean deg.

Std deg.

Mean sim.

Std sim.

Mapped clusters

Ratio-1

SCOP- Matt(Z)

98

1.554

4.432

0.419

0.311

757 : 487

0.554

SCOP-Matt(S12)

10

1.966

1.391

0.294

0.222

757 : 385

0.966

SCOP-Dali(S12)

25

2.419

2.245

0.257

0.204

757 : 313

1.419

SCOP-Matt(S24)

17

2.00

1.974

0.309

0.248

757 : 379

0.997

SCOP-Dali(S30)

22

2.132

2.001

0.310

0.249

757 : 355

1.132

Matt(Z)- SCOP

37

1.552

2.323

0.391

0.321

762 : 491

0.552

Matt(S12)-SCOP

15

1.296

1.127

0.346

0.244

495 : 382

0.296

Dali(S12)-SCOP

7

1.150

0.518

0.365

0.231

361 : 314

0.150

Matt(S24)-SCOP

20

1.347

1.448

0.367

0.268

516 : 383

0.347

Dali(S30)-SCOP

10

1.150

0.643

0.426

0.266

413 : 359

0.150

  1. The best results for each mapping direction and column are highlighted in bold italics. Column headings are the same as in Table 7, but for SCOP Folds rather than for Superfamilies. The values of Min degree and max similarity are both one and the value of min similarity is zero.