Supported databases and taxonomic levels

The underpinnings of deepnog are database-agnostic. However, the tool requires specifically trained models for each database. If a database comprises multiple taxonomic levels, individual models are necessary. For example, eggNOG 5 features over 400 levels. The following list provides the currently available databases. (Alternatively, inspect deepnog_config.yml which will always contain up-to-date information.)

eggNOG 5

architecture

database

tax

macro_precision

macro_recall

macro_f1

accuracy

mcc

deepnog

eggNOG5

1

0.9743

0.9149

0.9369

0.9383

0.9383

deepnog

eggNOG5

2

0.9725

0.9374

0.9504

0.9463

0.9463

deepnog

eggNOG5

29

1.0000

1.0000

1.0000

1.0000

0.0000

deepnog

eggNOG5

237

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

468

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

506

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

561

1.0000

1.0000

1.0000

1.0000

0.0000

deepnog

eggNOG5

772

0.9375

0.9167

0.9143

0.9000

0.8768

deepnog

eggNOG5

815

0.7615

0.7685

0.7489

0.7660

0.7431

deepnog

eggNOG5

976

0.9876

0.9829

0.9829

0.9844

0.9844

deepnog

eggNOG5

1117

0.9915

0.9890

0.9887

0.9900

0.9900

deepnog

eggNOG5

1150

0.9630

0.9630

0.9556

0.9600

0.9557

deepnog

eggNOG5

1224

0.9767

0.9683

0.9690

0.9797

0.9797

deepnog

eggNOG5

1236

0.9865

0.9821

0.9821

0.9878

0.9878

deepnog

eggNOG5

1239

0.9724

0.9649

0.9651

0.9783

0.9783

deepnog

eggNOG5

1268

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

1297

1.0000

1.0000

1.0000

1.0000

0.0000

deepnog

eggNOG5

1386

0.9748

0.9758

0.9716

0.9778

0.9776

deepnog

eggNOG5

1653

0.9015

0.8485

0.8325

0.8519

0.8443

deepnog

eggNOG5

1762

0.9942

0.9767

0.9812

0.9846

0.9844

deepnog

eggNOG5

2157

0.9755

0.9672

0.9669

0.9670

0.9669

deepnog

eggNOG5

2759

0.9776

0.9354

0.9506

0.9410

0.9410

deepnog

eggNOG5

3699

0.9809

0.9564

0.9614

0.9663

0.9657

deepnog

eggNOG5

4447

0.9648

0.9498

0.9490

0.9517

0.9513

deepnog

eggNOG5

4751

0.9852

0.9807

0.9800

0.9814

0.9813

deepnog

eggNOG5

4776

0.9000

0.7500

0.7778

0.8333

0.6325

deepnog

eggNOG5

4890

0.9869

0.9824

0.9817

0.9820

0.9820

deepnog

eggNOG5

4891

0.9692

0.9551

0.9544

0.9444

0.9419

deepnog

eggNOG5

5204

0.8615

0.8404

0.8327

0.8649

0.8605

deepnog

eggNOG5

5338

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

5653

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

5794

1.0000

1.0000

1.0000

1.0000

0.0000

deepnog

eggNOG5

5878

1.0000

1.0000

1.0000

1.0000

0.0000

deepnog

eggNOG5

6231

0.8815

0.8315

0.8469

0.8545

0.8460

deepnog

eggNOG5

6236

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

6656

0.9557

0.9278

0.9313

0.9380

0.9376

deepnog

eggNOG5

7147

0.9808

0.9615

0.9634

0.9722

0.9704

deepnog

eggNOG5

7214

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

7711

0.9840

0.9763

0.9759

0.9763

0.9763

deepnog

eggNOG5

7742

0.9869

0.9809

0.9804

0.9802

0.9802

deepnog

eggNOG5

7898

0.9881

0.9762

0.9773

0.9911

0.9895

deepnog

eggNOG5

8459

1.0000

1.0000

1.0000

1.0000

0.0000

deepnog

eggNOG5

9263

1.0000

1.0000

1.0000

1.0000

0.0000

deepnog

eggNOG5

9443

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

9989

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

28211

0.9849

0.9805

0.9800

0.9872

0.9872

deepnog

eggNOG5

28216

0.9944

0.9932

0.9929

0.9933

0.9933

deepnog

eggNOG5

28221

0.9803

0.9733

0.9728

0.9710

0.9709

deepnog

eggNOG5

28890

0.9898

0.9853

0.9848

0.9858

0.9857

deepnog

eggNOG5

29547

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

31979

0.9833

0.9736

0.9745

0.9729

0.9728

deepnog

eggNOG5

32066

1.0000

1.0000

1.0000

1.0000

0.0000

deepnog

eggNOG5

33090

0.9779

0.9679

0.9683

0.9698

0.9698

deepnog

eggNOG5

33154

0.9788

0.9592

0.9639

0.9637

0.9637

deepnog

eggNOG5

33208

0.9783

0.9625

0.9656

0.9634

0.9634

deepnog

eggNOG5

33213

0.9775

0.9661

0.9670

0.9660

0.9660

deepnog

eggNOG5

33342

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

33554

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

33958

0.9865

0.9813

0.9803

0.9804

0.9802

deepnog

eggNOG5

35493

0.9835

0.9749

0.9753

0.9750

0.9750

deepnog

eggNOG5

38820

0.9712

0.9455

0.9474

0.9514

0.9508

deepnog

eggNOG5

40674

0.9889

0.9828

0.9832

0.9832

0.9832

deepnog

eggNOG5

41294

0.9667

0.9479

0.9472

0.9535

0.9512

deepnog

eggNOG5

50557

0.9354

0.9184

0.9171

0.9107

0.9097

deepnog

eggNOG5

68525

0.9875

0.9839

0.9836

0.9839

0.9839

deepnog

eggNOG5

69277

1.0000

1.0000

1.0000

1.0000

0.0000

deepnog

eggNOG5

71274

0.9583

0.9167

0.9206

0.9655

0.9581

deepnog

eggNOG5

72273

1.0000

1.0000

1.0000

1.0000

0.0000

deepnog

eggNOG5

72275

1.0000

1.0000

1.0000

1.0000

0.0000

deepnog

eggNOG5

80864

0.9500

0.8750

0.8889

0.9231

0.8977

deepnog

eggNOG5

82115

0.9774

0.9519

0.9536

0.9603

0.9597

deepnog

eggNOG5

85004

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

85010

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

85013

1.0000

1.0000

1.0000

1.0000

0.0000

deepnog

eggNOG5

85023

1.0000

1.0000

1.0000

1.0000

0.0000

deepnog

eggNOG5

85025

0.9710

0.9829

0.9731

0.9697

0.9686

deepnog

eggNOG5

85026

1.0000

1.0000

1.0000

1.0000

0.0000

deepnog

eggNOG5

91061

0.9862

0.9837

0.9827

0.9886

0.9886

deepnog

eggNOG5

91561

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

91835

0.9617

0.9562

0.9534

0.9549

0.9543

deepnog

eggNOG5

112252

1.0000

1.0000

1.0000

1.0000

0.0000

deepnog

eggNOG5

117743

0.9930

0.9912

0.9906

0.9905

0.9905

deepnog

eggNOG5

117747

1.0000

1.0000

1.0000

1.0000

0.0000

deepnog

eggNOG5

119060

0.9827

0.9634

0.9677

0.9652

0.9645

deepnog

eggNOG5

119089

0.9706

0.9412

0.9437

0.9600

0.9579

deepnog

eggNOG5

135613

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

135614

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

135619

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

135623

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

147545

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

147550

0.8464

0.8452

0.8318

0.8611

0.8537

deepnog

eggNOG5

155619

0.9500

0.9000

0.9042

0.9310

0.9242

deepnog

eggNOG5

183963

0.9685

0.9435

0.9455

0.9468

0.9457

deepnog

eggNOG5

186801

0.9870

0.9827

0.9826

0.9852

0.9851

deepnog

eggNOG5

186822

0.9895

0.9825

0.9832

0.9805

0.9802

deepnog

eggNOG5

186928

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

200643

0.9895

0.9855

0.9853

0.9843

0.9843

deepnog

eggNOG5

201174

0.9840

0.9795

0.9796

0.9836

0.9836

deepnog

eggNOG5

203691

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

204441

0.9583

0.9167

0.9206

0.9565

0.9439

deepnog

eggNOG5

204457

0.9497

0.9406

0.9351

0.9425

0.9409

deepnog

eggNOG5

213115

0.9524

0.8889

0.8889

0.9091

0.8976

deepnog

eggNOG5

267890

1.0000

1.0000

1.0000

1.0000

0.0000

deepnog

eggNOG5

314146

0.9810

0.9613

0.9634

0.9630

0.9626

deepnog

eggNOG5

355688

1.0000

1.0000

1.0000

1.0000

0.0000

deepnog

eggNOG5

541000

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

544448

0.9333

0.9333

0.9200

0.9231

0.9104

deepnog

eggNOG5

768503

1.0000

1.0000

1.0000

1.0000

1.0000

deepnog

eggNOG5

909932

1.0000

1.0000

1.0000

1.0000

1.0000

COG 2020

architecture

database

tax

macro_precision

macro_recall

macro_f1

accuracy

mcc

deepnog

cog2020

1

0.9334

0.9043

0.9125

0.9391

0.9390

Performance estimates are based on 96%/2%/2% stratified train/validation/test splits of all sequences within the corresponding database and tax. level. This likely overestimates generalization performance for distant homologs. See the research paper for details.