Table 1
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Summary of existing tools for ACP identification

MethodFeature encodingAlgorithmYearReference
AntiCPAAC, BPSVM2013[10]
iACP-GAEnsCAm-PAAC, g-Gap dipeptide composition, Reduce amino acid alphabet compositionGenetic algorithm-based ensemble learning2017[19]
ACPredAAC, DPC, PHYC, PAAC, Am-PAACSVM, RF2019[12]
AntiCP 2.0AAC, DPC, TC, BPSVM2020[11]
DeepACPAmino acid embeddingRNN2020[17]
cACPQuasi-sequence order, Conjoint triad feature, Geary autocorrelation descriptorSVM2020[20]
cACP-2LFSK-space amino acid pairSVM2020[21]
ACP-MHCNNSequential features, PHYC, evolutionary informationCNN2021[18]
iACP-GEBC, BLOSUM62, EGAAC, DMACAGBDT, ET2022[13]
StackACPredN-SegPSSM, PsePSSM, PAACSVM-RFE+CBR, LightGMB, stacking-based ensemble learning2022[14]
cACP-DeepGramWord embeddingDeep neural network2022[22]
GRDFGraphical features of peptides, evolutionary information, BPDeep forest2023[15]
ACP-MLCAAC, BPF, DDE, TPC, AAINEX, C/T/DRF2023[16]
CAPTURECorrelational information, distributional information, compositional information, transitional informationAdaboost2024[23]
ANNprob-ACPsAAC, Cross-covariance, DPC, PAAC, Quasi-sequence-order, CTDC, CTDT, word2vector, CKSAAGPArtificial neural network2024[24]
ACP-MLDPC, PAAC, CTDC, CTDT, CS-Pse-PSSMVoting-based ensemble learning2024[25]
MethodFeature encodingAlgorithmYearReference
AntiCPAAC, BPSVM2013[10]
iACP-GAEnsCAm-PAAC, g-Gap dipeptide composition, Reduce amino acid alphabet compositionGenetic algorithm-based ensemble learning2017[19]
ACPredAAC, DPC, PHYC, PAAC, Am-PAACSVM, RF2019[12]
AntiCP 2.0AAC, DPC, TC, BPSVM2020[11]
DeepACPAmino acid embeddingRNN2020[17]
cACPQuasi-sequence order, Conjoint triad feature, Geary autocorrelation descriptorSVM2020[20]
cACP-2LFSK-space amino acid pairSVM2020[21]
ACP-MHCNNSequential features, PHYC, evolutionary informationCNN2021[18]
iACP-GEBC, BLOSUM62, EGAAC, DMACAGBDT, ET2022[13]
StackACPredN-SegPSSM, PsePSSM, PAACSVM-RFE+CBR, LightGMB, stacking-based ensemble learning2022[14]
cACP-DeepGramWord embeddingDeep neural network2022[22]
GRDFGraphical features of peptides, evolutionary information, BPDeep forest2023[15]
ACP-MLCAAC, BPF, DDE, TPC, AAINEX, C/T/DRF2023[16]
CAPTURECorrelational information, distributional information, compositional information, transitional informationAdaboost2024[23]
ANNprob-ACPsAAC, Cross-covariance, DPC, PAAC, Quasi-sequence-order, CTDC, CTDT, word2vector, CKSAAGPArtificial neural network2024[24]
ACP-MLDPC, PAAC, CTDC, CTDT, CS-Pse-PSSMVoting-based ensemble learning2024[25]
Table 1
Open in new tab

Summary of existing tools for ACP identification

MethodFeature encodingAlgorithmYearReference
AntiCPAAC, BPSVM2013[10]
iACP-GAEnsCAm-PAAC, g-Gap dipeptide composition, Reduce amino acid alphabet compositionGenetic algorithm-based ensemble learning2017[19]
ACPredAAC, DPC, PHYC, PAAC, Am-PAACSVM, RF2019[12]
AntiCP 2.0AAC, DPC, TC, BPSVM2020[11]
DeepACPAmino acid embeddingRNN2020[17]
cACPQuasi-sequence order, Conjoint triad feature, Geary autocorrelation descriptorSVM2020[20]
cACP-2LFSK-space amino acid pairSVM2020[21]
ACP-MHCNNSequential features, PHYC, evolutionary informationCNN2021[18]
iACP-GEBC, BLOSUM62, EGAAC, DMACAGBDT, ET2022[13]
StackACPredN-SegPSSM, PsePSSM, PAACSVM-RFE+CBR, LightGMB, stacking-based ensemble learning2022[14]
cACP-DeepGramWord embeddingDeep neural network2022[22]
GRDFGraphical features of peptides, evolutionary information, BPDeep forest2023[15]
ACP-MLCAAC, BPF, DDE, TPC, AAINEX, C/T/DRF2023[16]
CAPTURECorrelational information, distributional information, compositional information, transitional informationAdaboost2024[23]
ANNprob-ACPsAAC, Cross-covariance, DPC, PAAC, Quasi-sequence-order, CTDC, CTDT, word2vector, CKSAAGPArtificial neural network2024[24]
ACP-MLDPC, PAAC, CTDC, CTDT, CS-Pse-PSSMVoting-based ensemble learning2024[25]
MethodFeature encodingAlgorithmYearReference
AntiCPAAC, BPSVM2013[10]
iACP-GAEnsCAm-PAAC, g-Gap dipeptide composition, Reduce amino acid alphabet compositionGenetic algorithm-based ensemble learning2017[19]
ACPredAAC, DPC, PHYC, PAAC, Am-PAACSVM, RF2019[12]
AntiCP 2.0AAC, DPC, TC, BPSVM2020[11]
DeepACPAmino acid embeddingRNN2020[17]
cACPQuasi-sequence order, Conjoint triad feature, Geary autocorrelation descriptorSVM2020[20]
cACP-2LFSK-space amino acid pairSVM2020[21]
ACP-MHCNNSequential features, PHYC, evolutionary informationCNN2021[18]
iACP-GEBC, BLOSUM62, EGAAC, DMACAGBDT, ET2022[13]
StackACPredN-SegPSSM, PsePSSM, PAACSVM-RFE+CBR, LightGMB, stacking-based ensemble learning2022[14]
cACP-DeepGramWord embeddingDeep neural network2022[22]
GRDFGraphical features of peptides, evolutionary information, BPDeep forest2023[15]
ACP-MLCAAC, BPF, DDE, TPC, AAINEX, C/T/DRF2023[16]
CAPTURECorrelational information, distributional information, compositional information, transitional informationAdaboost2024[23]
ANNprob-ACPsAAC, Cross-covariance, DPC, PAAC, Quasi-sequence-order, CTDC, CTDT, word2vector, CKSAAGPArtificial neural network2024[24]
ACP-MLDPC, PAAC, CTDC, CTDT, CS-Pse-PSSMVoting-based ensemble learning2024[25]
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