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Table 8 Case Study

From: Meta-learning-based Inductive logistic matrix completion for prediction of kinase inhibitors

Drug

Kinase

Predicted Scores

pKd

Dasatinib

Q9Y4K4

0.997994542

(7,)

Q8N4C8

0.99648869

(6,7]

P07948

0.99596256

(7,)

Q92918

0.992815614

(6,7]

P54753

0.991856694

(7,)

P36896

0.99170506

(6,7]

P48730

0.990989685

/

P54760

0.990192294

(7,)

P51451

0.987114549

(7,)

P43403

0.986486316

/

Sunitinib

O95819

0.99972111

(6,7]

Q96SB4

0.999653816

(6,7]

P23443

0.999647975

(7,)

O15530

0.999610126

(5,6]

O00444

0.999576867

(6,7]

Q9H2X6

0.999403119

(7,)

O94806

0.999173343

(6,7]

P52333

0.998999894

(5,6]

P22607

0.998657823

(6,7]

O60285

0.998578429

(7,)

  1. The top-10 potential kinases candidates detected by our models for Dasatinib and Sunitinib, pKd value from HMS LINCS dataset, if pKd > 6, kinase is active