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Table 11 Prediction results of 1A0A and 1E9G by classification methods

From: Identification of hot regions in hub protein–protein interactions by clustering and PPRA optimization

PDB ID

Method

Natural hot spots predicted

Natural hot spots unpredicted

False hot spots

1A0A

Boosting

A16, A19, A49, A53, A56, B16, B29, B49, B50, B52, B53

A20, A23, A46, A50, A52, B23, B43, B46

A15, A22, A57, B13, B19, B22, B42

Gradient boosting

A16, A19, A23, A46, A49, A52, A53, B16, B29, B49, B52, B53

A50, B23, B43, B46

A22, A26, B13, B19, B42, B57

Random forest

A16, A19, A23, A46, A49, A50, A52, A53, B16, B29, B43, B49, B52, B50, B53, A56

A20, B23, B46

A22, A57

1E9G

Boosting

A51, A52, A90, A279, A281, B51, A178, A181, B84, B90

A87, A84, B52, B87, B178, B181, B279

A82, A126, A128, B82, B128, B179

Gradient boosting

A51, A52, A87, A90, A279, A281, B51, B52, A178, A181, B84, B178,

A84, B87, B90, B181, B279

A126, A128, B82, B126, B128, B278

Random forest

A51, A52, A87, A90, A279, A281, B51, A178, A181, B84, B87, B90, B279

A84, B52, B178, B181

A128, B179