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Table 4 Comparison of state-of-the-art approaches in terms of Acc and AUC in different organisms

From: Mal-Prec: computational prediction of protein Malonylation sites via machine learning based feature integration

Approach

Feature

Species

Acc (%)

AUC (%)

mRMR+SVM [9]

K-gram+AAindex

N/A

N/A

79.35

IG + SVM [10]

AAC + BINA (sequence-based)

E. coli

72.30

75.50

EBGW (physicochemical)

Mouse

74.65

82.70

KNN + PSSM (evolutionary)

Homo sapiens

73.72

87.10

IG + SVM [11]

PKsaap+AAindex+DC

Mouse

N/A

73.90

Homo sapiens

N/A

74.30

LSTM+RF [12]

EAAC+word embedding

Mouse

88.00

82.40

Homo sapiens

SVM [13]

Binary+PSSM+AAindex+Structured (ASA + SS + HSE + IDR)

Mouse

N/A

76.00

Proposed method

AAindex+One-hot+CKSAAP

Homo sapiens

90.65

90.91