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Table 2 Performance of MOVA and the existing methods

From: Accuracy of a machine learning method based on structural and locational information from AlphaFold2 for predicting the pathogenicity of TARDBP and FUS gene variants in ALS

gene

MOVA

PolyPhen-2

CADD

REVEL

EVE

AlphScore

TARDBP

0.772

0.583

0.555

0.742

0.571

0.448

FUS

0.841

0.541

0.694

0.878

0.652

SETX

0.678

0.692

0.675

0.682

0.649

0.577

TBK1

0.513

0.721

0.748

0.785

0.603

OPTN

0.501

0.686

0.693

0.804

0.72

0.589

SOD1

0.786

0.774

0.737

0.805

0.8

0.771

VCP

0.847

0.753

0.692

0.759

0.403

0.654

SQSTM1

0.473

0.661

0.541

0.775

0.504

0.548

ANG

0.464

0.593

0.555

0.721

0.554

0.443

UBQLN2

0.769

0.47

0.464

0.722

0.562

0.527

DCTN1

0.524

0.558

0.577

0.617

0.709

0.553

CCNF

0.696

0.533

0.615

0.581

0.619

0.578

Average

0.655

0.63

0.629

0.739

0.609

0.579