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Table 2 AUC results for interaction prediction under validation

From: SSELM-neg: spherical search-based extreme learning machine for drug–target interaction prediction

Method

Datasets

   
 

E

GPCR

IC

NR

Bigram-PSSM

0.948

0.872

0.889

0.869

iDTI-ESBoost

0.969

0.932

0.937

0.929

NRLMF

0.987

0.969

0.989

0.950

BLM-NII

0.985

0.966

0.984

0.917

SPLCMF

0.970

0.942

0.981

0.828

WNN-GIP

0.964

0.944

0.959

0.901

NetLapRLS

0.969

0.904

0.956

0.844

SELF-BLM

0.860

0.894

0.925

0.773

SSELM-neg

0.986

0.993

0.988

0.969

  1. The best results are shown in bold