Table 1.

Physicochemical, structural, and machine learning properties of selected peptide ACP candidates

ID	Amino acid sequence	Length	Charge	Structure	Machine learning model			Consensus score	Prediction
					ACPred‐FL	AntiCp 2.0	mACP pred
ALA‐A1	RFFVPLFLVGILFPAILAKQFTK	23	3+	coil–helix–coil–helix	0.980	0.620	0.964	0.836	ACP
ALA‐A2	KLWCKSSQVPQSR	13	3+	helix–coil	0.992	0.480	0.798	0.724	ACP
ALA‐A3	RFFVPLFLVGILFPAILAKQFTKC	24	3+	helix–coil–helix	0.980	0.590	0.977	0.826	ACP
ALA‐A4	LFQISNKLWCKSSQVPQSRN	20	3+	coil	0.944	0.460	0.075	0.319	non‐ACP
BMP‐S6 (positive control)[ 5 , 10 ]	FKCRRWQWRMKKLGAPSITCVR	22	7+	coil–helix	0.606	1.000	0.9848	0.842	ACP