Table 6.

Performances of different computational approaches for predicting AMP functional activities based on balanced independent test datasets

Activity	Method	Precision	Sensitivity	Specificity	Accuracy	F1	MCC	AUC
Antibacterial	AMAP	0.5788	0.8750	0.3633	0.6192	0.6967	0.2774	0.6192
	AMPDiscover-RF	0.6162	0.8803	0.4518	0.6660	0.7250	0.3675	0.6322
	AMPDiscover-RNN	0.6132	0.8727	0.4495	0.6611	0.7203	0.3557	0.6611
	iAMP-CA2L	0.4990	0.6826	0.3148	0.4987	0.5766	-0.0028	0.4987
	iAMPCN	0.6709	0.7914	0.6118	0.7016	0.7262	0.4099	0.7621
Antifungal	AMAP	0.5354	0.8228	0.2860	0.5544	0.6487	0.1289	0.5544
	AMPDiscover-RF	0.5385	0.7851	0.3272	0.5561	0.6388	0.1263	0.5398
	AMPDiscover-RNN	0.5316	0.7895	0.3044	0.5469	0.6354	0.1073	0.5469
	AMPfun	0.5901	0.5746	0.6009	0.5877	0.5822	0.1755	0.6256
	dbAMP	0.5524	0.8044	0.3482	0.5763	0.6550	0.1715	0.6082
	iAMP-CA2L	0.5000	0.2140	0.7860	0.5000	0.2998	0.0000	0.5000
	iAMP-RAAC	0.5850	0.6763	0.5202	0.5982	0.6273	0.1989	0.5982
	iAMPCN	0.7347	0.5368	0.8061	0.6715	0.6204	0.3561	0.7483
Antiviral	AMAP	0.3042	0.2336	0.4656	0.3496	0.2643	-0.3092	0.3496
	AMPDiscover-RF	0.4283	0.5432	0.2749	0.4091	0.4790	-0.1888	0.4999
	AMPDiscover-RNN	0.4447	0.5683	0.2902	0.4293	0.4989	-0.1473	0.4293
	AMPfun	0.5862	0.7502	0.4705	0.6103	0.6582	0.2299	0.6653
	dbAMP	0.5392	0.8618	0.2635	0.5627	0.6633	0.1564	0.6006
	iAMP-CA2L	0.4615	0.0243	0.9717	0.4980	0.0461	-0.0126	0.4980
	iAMP-RAAC	0.6156	0.6653	0.5845	0.6249	0.6395	0.2506	0.6249
	iAMPCN	0.8248	0.7308	0.8448	0.7878	0.7750	0.5794	0.8865
Anticancer	AMAP	0.3973	0.4118	0.3753	0.3935	0.4044	-0.2130	0.3935
	AMPfun	0.4450	0.4172	0.4796	0.4484	0.4306	-0.1034	0.4444
	dbAMP	0.4828	0.6344	0.3204	0.4774	0.5483	-0.0476	0.4759
	iAMP-RAAC	0.4658	0.1172	0.8656	0.4914	0.1873	-0.0259	0.4914
	iAMPCN	0.6830	0.7667	0.6441	0.7054	0.7224	0.4139	0.7698
Anti-Gram positive	AMPfun	0.5607	0.8865	0.3054	0.5960	0.6869	0.2359	0.6304
	dbAMP	0.5513	0.8265	0.3272	0.5768	0.6614	0.1774	0.6107
	iAMP-RAAC	0.5590	0.8879	0.2995	0.5937	0.6860	0.2317	0.5937
	iAMPCN	0.6372	0.7995	0.5449	0.6722	0.7092	0.3561	0.7246
Anti-Gram negative	AMPfun	0.5683	0.8868	0.3262	0.6065	0.6927	0.2572	0.6390
	dbAMP	0.5603	0.8515	0.3317	0.5916	0.6758	0.2144	0.6232
	iAMP-RAAC	0.5635	0.8582	0.3354	0.5968	0.6803	0.2271	0.5968
	iAMPCN	0.6335	0.8058	0.5338	0.6698	0.7093	0.3529	0.7212
Anti-mammalian cells	AMPfun	0.6024	0.3574	0.7641	0.5608	0.4486	0.1330	0.6163
	dbAMP	0.5374	0.6486	0.4416	0.5451	0.5878	0.0923	0.5585
	iAMP-RAAC	0.6364	0.1769	0.8989	0.5379	0.2768	0.1096	0.5379
	iAMPCN	0.6748	0.7942	0.6173	0.7058	0.7297	0.4181	0.7665
Anti-HIV	AMAP	0.3879	0.2830	0.5535	0.4182	0.3273	-0.1699	0.4182
	iAMP-CA2L	0.3333	0.0063	0.9874	0.4969	0.0123	-0.0325	0.4969
	iAMPCN	0.8489	0.7421	0.8679	0.8050	0.7919	0.6149	0.8633
Anti-MRSA	iAMP-CA2L	0.9565	0.4151	0.9811	0.6981	0.5789	0.4806	0.6981
	iAMPCN	0.8600	0.8113	0.8679	0.8396	0.8350	0.6803	0.8597
Antiparasitic	AMAP	0.2692	0.1609	0.5632	0.3621	0.2014	-0.3013	0.3621
	AMPDiscover-RF	0.5000	0.7241	0.2759	0.5000	0.5915	0.0000	0.6092
	AMPDiscover-RNN	0.4841	0.7011	0.2529	0.4770	0.5728	-0.0514	0.4770
	AMPfun	0.4750	0.4368	0.5172	0.4770	0.4551	-0.0461	0.4970
	iAMP-CA2L	0.4000	0.0230	0.9655	0.4943	0.0435	-0.0344	0.4943
	iAMP-RAAC	0.5517	0.1839	0.8506	0.5172	0.2759	0.0463	0.5172
	iAMPCN	0.7534	0.6322	0.7931	0.7126	0.6875	0.4309	0.7861
Antibiofilm	AMAP	0.5965	0.4595	0.6892	0.5743	0.5191	0.1527	0.5743
	iAMP-CA2L	0.8571	0.0811	0.9865	0.5338	0.1481	0.1592	0.5338
	iAMPCN	0.8243	0.8243	0.8243	0.8243	0.8243	0.6486	0.8667
Chemotactic	AMAP	0.4000	0.1429	0.7857	0.4643	0.2105	-0.0933	0.4643
	iAMP-CA2L	0.0000	0.0000	1.0000	0.5000	0.0000	0.0000	0.5000
	iAMPCN	1.0000	0.5000	1.0000	0.7500	0.6667	0.5774	0.8163
Endotoxin	iAMP-CA2L	0.9167	0.6875	0.9375	0.8125	0.7857	0.6455	0.8125
	iAMPCN	0.7059	0.7500	0.6875	0.7188	0.7273	0.4384	0.7617
Insecticidal	AMAP	0.5588	0.2289	0.8193	0.5241	0.3248	0.0597	0.5241
	iAMPCN	0.8514	0.7590	0.8675	0.8133	0.8025	0.6302	0.8936