Simplified sequence-based method for ATP-binding prediction using contextual local evolutionary conservation

Table 6 Performance of CLCLpred and the existing predictors tested on the ATP168 and ATP227

Dataset	Method	ACC	TPR	FPR	AUC
ATP168	CLCLpred (our proposed method)	0.824	0.785	0.137	0.894
	PSSM (reference [10])	0.752	0.700	0.196	0.823
	binary (reference [10])	0.663	0.655	0.330	0.725
	PSSM (reference [17])	0.757	0.757	0.243	0.841
	LogisticPSSMa (reference [17])	0.765	0.763	0.234	0.849
	LogisticPSSM+ Bipro-aa (reference [17])	0.770	0.769	0.228	0.855
	LogisticPSSM+ Bipro-dis (reference [17])	0.769	0.766	0.229	0.854
	LogisticPSSM+ Bipro-sa (reference [17])	0.772	0.770	0.225	0.856
	LogisticPSSM+ Bipro-ss (reference [17])	0.775	0.774	0.224	0.858
	LogisticPSSM+ Bipro-allb (reference [17])	0.772	0.770	0.227	0.857
ATP227	CLCLpred (our proposed method)	0.828	0.789	0.133	0.899
	ATPsite (reference [16])	0.675	0.361	0.012	0.854
	Rate4site (reference [16, 26])	0.658	0.446	0.130	0.749
	PSSM (reference [17])	0.782	0.783	0.218	0.861
	LogisticPSSMa (reference [17])	0.794	0.792	0.204	0.873
	LogisticPSSM+ Bipro-aa (reference [17])	0.798	0.798	0.201	0.877
	LogisticPSSM+ Bipro-dis (reference [17])	0.798	0.797	0.201	0.876
	LogisticPSSM+ Bipro-sa (reference [17])	0.800	0.800	0.199	0.880
	LogisticPSSM+ Bipro-ss (reference [17])	0.802	0.801	0.197	0.881
	LogisticPSSM+ Bipro-allb (reference [17])	0.801	0.800	0.197	0.880

ISSN: 1748-7188