Table 3.

In silico predicted MHC class II-restricted 15-mer epitopes of L. infantum proteins.

Protein	No. of epitope	Epitope sequence	Scorea
			SYFPEITHI		NetMHCII
			H2-IAd	H2-IEd	H2-IAd
CPA	1	149-MCGSCWAFATTGNIE-163	28	–	–
	2	246-PHDEEEIAAYVGKNG-260	27	–	–
	3	114-KDYKEHVHVDDSVRS-128	26	–	–
	4	257-GKNGPVAVAVDATTW-271	26	–	–
	5	32-GVDDFIASAHYGRFK-46	25	–	–
	6	312-GSSWGEKGYIRLAMG-326	–	24	–
	7	4-RNPFFFAIVVTILFV-18	23	–	–
	8	5-NPFFFAIVVTILFVV-19	23	–	–
	9	13-VTILFVVCYGSALIA-27	22	–	–
	10	172-SLVSLSEQVLVSCDN-186	22	–	–
	11	174-VSLSEQVLVSCDNID-188	22	–	–
	12	12-VVTILFVVCYGSALI-26	21	–	–
	13	260-GPVAVAVDATTWQLY-274	21	–	–
	14	279-VTLCFGLSLNHGVLV-293	21	–	–
	15	67-KQNMQTAYFLNAHNP-81	20	–	–
	16	273-LYFGGVVTLCFGLSL-287	20	–	–
	17	301-KPPYWIVKNSWGSSW-315	20	–	–
	18	328-NQCLLKNYVVTATID-342	20	–	–
	19	216-SYPYTSAGGTRPPCH-230	–	20	–
	20	308-KNSWGSSWGEKGYIR-322	–	20	–
Histone H1	21	1-MSSDSAVAALSAAMT-15	31	–	88.3
	22	27-KTAAKKAAAKKAAAK-41	29	–	182.6
	23	32-KAAAKKAAAKKAGAK-46	29	–	239.9
	24	37-KAAAKKAGAKKAGAK-51	29	–	–
	25	42-KAGAKKAGAKKAVRK-56	29	–	–
	26	2-SSDSAVAALSAAMTS-16	28	–	123.7
	27	56-KVATPKKPAKKAAKK-70	24	–	–
	28	36-KKAAAKKAGAKKAGA-50	–	24	–
	29	41-KKAGAKKAGAKKAVR-55	–	24	–
	30	71-AAKKPAKKVAKKPAK-85	–	24	–
	31	16-SPQKSPRSSPKKTAA-30	–	22	–
	32	21-PRSSPKKTAAKKAAA-35	–	22	–
	33	26-KKTAAKKAAAKKAAA-40	–	22	163.5
	34	31-KKAAAKKAAAKKAGA-45	–	22	190.3
	35	45-AKKAGAKKAVRKVAT-59	–	22	–
	36	51-KKAVRKVATPKKPAK-65	–	22	–
	37	55-RKVATPKKPAKKAAK-69	–	22	–
	38	59-TPKKPAKKAAKKAAK-73	–	22	–
	39	63-PAKKAAKKAAKKPAK-77	–	22	–
	40	67-AAKKAAKKPAKKVAK-81	–	22	–
	41	75-PAKKVAKKPAKKAAK-89	–	22	–
	42	79-VAKKPAKKAAKKPAK-93	–	22	–
	43	83-PAKKAAKKPAKKPAK-97	–	22	–
	44	87-AAKKPAKKAAKKAAK-101	–	22	–
	45	91-PAKKPAKKAAKKAAK-105	–	22	–
	46	95-PAKKAAKKAAKKAAA-109	–	22	–
	47	5-SAVAALSAAMTSPQK-19	21	–	382.8
	48	76-AKKVAKKPAKKAAKK-90	21	20	–
	49	96-AKKAAKKAAKKAAAK-110	21	–	–
	50	29-AAKKAAAKKAAAKKA-43	–	–	107.9
	51	30-AKKAAAKKAAAKKAG-44	–	–	119.1
	52	25-PKKTAAKKAAAKKAA-39	–	–	119.6
	53	24-SPKKTAAKKAAAKKA-38	–	–	138.5
	54	3-SDSAVAALSAAMTSP-17	–	–	166.2
	55	28-TAAKKAAAKKAAAKK-42	–	–	183.3
	56	35-AKKAAAKKAGAKKAG-49	–	–	208.6
	57	34-AAKKAAAKKAGAKKA-48	–	–	232.0
	58	4-DSAVAALSAAMTSPQ-18	–	–	272.1
	59	48-AGAKKAVRKVATPKK-62	–	–	295.2
	60	33-AAAKKAAAKKAGAKK-47	–	–	317.8
	61	49-GAKKAVRKVATPKKP-63	–	–	457.6
KMP-11	62	4-TYEEFSAKLDRLDEE-18	23	–	–
	63	75-QKFAELLEQQKAAQN-89	19	–	–
	64	45-KEHYEKFERMIKEHT-59	–	18	–
	65	74-KQKFAELLEQQKAAQ-88	–	18	–
LeIF	66	100-LSPTRELALQTAEVI-114	28	–	264.2
	67	320-VLVTTDLVARGICVH-334	28	–	–
	68	199-LPKDIQVALFSATMP-213	27	–	–
	69	387-HTQIDELPVDFAAYL-401	27	–	–
	70	138-QDDLRKLQAGVIVAV-152	26	–	205.3
	71	166-ALRTESLRVLVLDEA-180	26	–	–
	72	169-TESLRVLVLDEADEM-183	26	–	–
	73	62-RGGDIIAQAQSGTGK-76	25	–	–
	74	140-DLRKLQAGVIVAVGT-154	24	–	256.8
	75	142-RKLQAGVIVAVGTPG-156	24	–	–
	76	259-MDLYETVSIAQSVIF-273	24	–	–
	77	223-FMRDPVRILVKRESL-237	–	24	–
	78	325-DLVARGIDVHHVNIV-339	23	–	–
	79	168-RTESLRVLVLDEADE-182	22	–	–
	80	263-ETVSIAQSVIFANTR-277	22	–	–
	81	293-TVSSMHAEMPKSDRE-307	22	–	–
	82	314-RSGSSRVLVTTDLVA-328	22	–	–
	83	268-AQSVIFANTRRKVDW-282	–	22	–
	84	16-LDDQPGVRPIPSFDD-30	20	–	–
	85	71-QSGTGKTGAFSIGLL-85	20	–	–
	86	107-ALQTAEVISRIGEFL-121	20	–	–
	87	174-VLVLDEADEMLSQGF-188	20	–	–
	88	255-LDTLMDLYETVSIAQ-269	20	–	–
	89	376-VELLHEIEAHYHTQI-390	20	–	–
	90	77-TGAFSIGLLQRLDFR-91	–	20	–
	91	81-SIGLLQRLDFRHNLI-95	–	20	–
	92	158-VSDVIKRGALRTESL-172	–	20	–
	93	102-PTRELALQTAEVISR-116	–	–	95.3
	94	103-TRELALQTAEVISRI-117	–	–	95.4
	95	101-SPTRELALQTAEVIS-115	–	–	163.8
	96	139-DDLRKLQAGVIVAVG-153	–	–	249.0
	97	99-VLSPTRELALQTAEV-113	–	–	263.1
	98	98-LVLSPTRELALQTAE-112	–	–	287.6
	99	141-LRKLQAGVIVAVGTP-155	–	–	296.7
	100	49-PSSIQQRAIAPFTRG-63	–	–	320.9
	101	48-KPSSIQQRAIAPFTR-62	–	–	378.0
	102	50-SSIQQRAIAPFTRGG-64	–	–	434.6
	103	97-GLVLSPTRELALQTA-111	–	–	452.0
	104	290-SNHTVSSMHAEMPKS-304	–	–	489.1

^aThe cut-off score was adjusted to ≥18 for SYFPEITHI, ≥100 for BIMAS, and <500 for NetMHCII.