Cancertope: In silico Platform for designing genome-based Personalized immunotherapy or Vaccine against Cancer

Gene Browse

This page is designed to facilitate user for browsing genes. Here, the user can find the mutated peptides with different number of mismatches due to mutation, for missense and frame shift [as shown in red headers]. In case of in-frame insertion [Blue ] and in-frame deletion [Purple], the unique number of peptides (Neopeptides) have been provided. Similarly, for every gene, unique number of cell lines, epitopes, mutation types and tissues, as present in our dataset, have been provided. For more information see HELP page.

Protein	>=1	>=2	>=3	>=4	>=5	>=6	>=7	>=8	>=9	Insertion_neopeptides	Deletion_neopeptides	Celllines	Total Neopeptides	Mut_type	Tissues
Result		Search:
AAK1	132	31	29	26	17	2	0	0	0	0	0	14	132	3	6
ABL1	259	1	0	0	0	0	0	0	0	0	0	33	259	2	15
AKAP12	462	54	50	46	33	6	0	0	0	21	8	740	491	5	23
AKAP9	965	73	62	54	27	2	0	0	0	0	9	418	974	4	23
ALK	560	90	88	84	53	4	0	0	0	13	0	61	573	4	17
ALPK2	589	114	106	101	82	8	0	0	0	14	0	458	603	4	23
ATM	968	41	36	31	20	4	0	0	0	0	0	98	968	3	17
BRAF	340	6	5	4	3	2	0	0	0	0	8	96	348	3	15
CARD10	234	0	0	0	0	0	0	0	0	7	0	27	241	2	11
CBL	223	23	20	18	14	5	0	0	0	0	2	25	225	3	10
CDH1	390	104	101	98	89	35	0	0	0	15	0	39	405	4	12
CHD1	494	105	98	91	72	6	0	0	0	13	0	312	507	4	22
CREB3L2	151	69	68	67	52	18	0	0	0	7	0	408	158	3	23
CTBP2	573	128	115	108	89	20	0	0	0	0	0	264	573	3	22
CTNNB1	342	11	10	9	8	5	0	0	0	8	0	45	349	3	12
EGFR	411	31	29	27	21	2	0	0	0	15	0	48	426	3	11
ERBB2	226	0	0	0	0	0	0	0	0	0	10	31	235	3	11
FBXW7	398	94	88	84	76	34	2	0	0	0	14	54	412	4	13
FGFR2	288	7	6	5	4	3	0	0	0	0	0	33	288	3	12
FGFR3	390	187	183	175	155	45	0	0	0	0	0	29	390	3	10
FLT3	305	7	6	5	4	2	0	0	0	0	0	37	305	2	11
FMN2	789	305	299	289	227	36	0	0	0	12	4	218	805	4	23
GATA1	164	29	29	29	26	10	0	0	0	0	0	18	164	2	11
GPR112	982	110	102	94	78	18	0	0	0	7	0	626	989	4	23
HSP90B1	180	16	14	12	6	3	0	0	0	5	0	209	185	3	21
JAK2	255	0	0	0	0	0	0	0	0	0	0	26	255	1	8
KIT	312	4	3	2	1	0	0	0	0	0	0	36	312	2	12
MAML2	443	121	117	109	81	20	0	0	0	0	0	39	443	3	12
MAP3K1	321	22	20	19	18	7	0	0	0	9	0	701	330	3	23
MAP3K4	476	83	76	69	64	14	0	0	0	6	0	53	482	4	15
MEN1	197	54	52	50	40	18	3	0	0	0	0	17	197	3	9
MET	413	42	40	38	36	17	0	0	0	0	0	47	413	2	16
MLH1	315	58	53	49	45	22	0	0	0	0	0	34	315	2	13
MLL3	1642	171	158	142	89	4	0	0	0	23	6	157	1671	5	20
MSH2	252	44	40	35	28	3	0	0	0	20	0	35	272	4	13
MSH3	347	56	53	50	47	19	0	0	0	5	11	275	363	4	23
MSH6	487	30	26	22	18	5	0	0	0	0	0	74	487	3	16
MYLK	601	49	46	43	39	6	0	0	0	14	0	228	615	4	22
MYST4	654	44	40	35	30	4	0	0	0	9	5	66	668	4	15
NCOA3	305	32	29	26	22	5	0	0	0	0	0	29	305	2	12
NF1	819	129	115	103	84	8	0	0	0	0	0	78	819	3	17
NF2	211	133	128	123	116	60	6	0	0	0	0	15	211	2	9
NR1H2	126	43	41	39	36	15	0	0	0	8	5	868	139	5	23
NRAS	199	9	8	7	6	5	2	0	0	0	0	61	199	2	14
PDE4DIP	1114	145	140	135	109	32	0	0	0	7	0	445	1121	3	23
PDGFRA	473	34	32	29	22	6	0	0	0	0	0	46	473	3	13
PIK3C2G	418	108	101	95	87	31	0	0	0	8	0	451	426	4	23
PIK3CA	490	1	1	1	1	0	0	0	0	23	0	106	513	3	15
PRKDC	1134	212	199	185	137	8	0	0	0	15	0	840	1149	4	23
PTEN	732	190	166	144	126	96	7	0	0	22	0	87	753	5	16
RB1	305	61	53	43	36	17	0	0	0	16	0	39	321	4	15
RECQL4	454	75	74	73	72	11	0	0	0	4	0	685	458	3	23
RET	353	50	48	46	40	15	0	0	0	0	0	34	353	2	12
SMAD4	454	143	138	133	128	75	1	0	0	7	0	40	461	4	14
TNFAIP3	357	95	92	89	80	30	0	0	0	0	0	32	357	3	9
TNRC6B	904	390	382	369	304	61	0	0	0	1	0	167	905	3	23
TP53	2134	460	426	391	335	191	5	0	0	63	8	446	2204	5	23
TSHR	261	0	0	0	0	0	0	0	0	0	0	29	261	1	14
TTBK1	189	17	15	12	8	0	0	0	0	0	0	19	189	2	11
VHL	92	35	32	29	25	15	10	0	0	0	0	10	92	2	3