Submission

Hover the mouse cursor over the symbol for a short description of the options

Type of input Fasta Peptide

Paste a single sequence or several sequences in FASTA format into the field below:

or submit a file in FASTA format directly from your local disk:


Peptide length (you may select multiple lengths):  
8mer peptides 9mer peptides 10mer peptides 11mer peptides 12mer peptides 13mer peptides 14mer peptides

Paste a single or several peptides in PEPTIDE format into the field below:

or submit a file in PEPTIDE format directly from your local disk:

Select species/loci
HLA supertype representative HLA-A HLA-B HLA-C HLA-E Chimpanzee (Patr) Rhesus macaque (Mamu) Mouse (H-2) BoLA Pig (SLA)
Select Allele (max 20 per submission) HLA-A*01:01 (A1) HLA-A*02:01 (A2) HLA-A*03:01 (A3) HLA-A*24:02 (A24) HLA-A*26:01 (A26) HLA-B*07:02 (B7) HLA-B*08:01 (B8) HLA-B*27:05 (B27) HLA-B*39:01 (B39) HLA-B*40:01 (B44) HLA-B*58:01 (B58) HLA-B*15:01 (B62) HLA-A*01:01 HLA-A*02:01 HLA-A*02:02 HLA-A*02:03 HLA-A*02:05 HLA-A*02:06 HLA-A*02:07 HLA-A*02:11 HLA-A*02:12 HLA-A*02:16 HLA-A*02:17 HLA-A*02:19 HLA-A*02:50 HLA-A*03:01 HLA-A*11:01 HLA-A*23:01 HLA-A*24:02 HLA-A*24:03 HLA-A*25:01 HLA-A*26:01 HLA-A*26:02 HLA-A*26:03 HLA-A*29:02 HLA-A*30:01 HLA-A*30:02 HLA-A*31:01 HLA-A*32:01 HLA-A*32:07 HLA-A*32:15 HLA-A*33:01 HLA-A*66:01 HLA-A*68:01 HLA-A*68:02 HLA-A*68:23 HLA-A*69:01 HLA-A*80:01 HLA-B*07:02 HLA-B*08:01 HLA-B*08:02 HLA-B*08:03 HLA-B*14:02 HLA-B*15:01 HLA-B*15:02 HLA-B*15:03 HLA-B*15:09 HLA-B*15:17 HLA-B*18:01 HLA-B*27:05 HLA-B*27:20 HLA-B*35:01 HLA-B*35:03 HLA-B*38:01 HLA-B*39:01 HLA-B*40:01 HLA-B*40:02 HLA-B*40:13 HLA-B*42:01 HLA-B*44:02 HLA-B*44:03 HLA-B*45:01 HLA-B*46:01 HLA-B*48:01 HLA-B*51:01 HLA-B*53:01 HLA-B*54:01 HLA-B*57:01 HLA-B*58:01 HLA-B*58:02 HLA-B*73:01 HLA-B*83:01 HLA-C*03:03 HLA-C*04:01 HLA-C*05:01 HLA-C*06:02 HLA-C*07:01 HLA-C*07:02 HLA-C*08:02 HLA-C*12:03 HLA-C*14:02 HLA-C*15:02 HLA-E*01:01 Patr-A*0101 Patr-A*0301 Patr-A*0401 Patr-A*0701 Patr-A*0901 Patr-B*0101 Patr-B*1301 Patr-B*2401 Mamu-A1*00101 (Mamu-A*01) Mamu-A1*00201 (Mamu-A*02) Mamu-A1*00701 (Mamu-A*07) Mamu-A1*01101 (Mamu-A*11) Mamu-A2*0101 Mamu-A1*02201 Mamu-A1*02601 (Mamu-A*26) Mamu-A7*0103 Mamu-B*00101 (Mamu-B*01) Mamu-B*00301 (Mamu-B*03) Mamu-B*00801 (Mamu-B*08) Mamu-B*01001 Mamu-B*01701 (Mamu-B*17) Mamu-B*03901 (Mamu-B*39) Mamu-B*05201 Mamu-B*06601 (Mamu-B*66) Mamu-B*08401 Mamu-B*08701 H-2-Db H-2-Dd H-2-Kb H-2-Kd H-2-Kk H-2-Ld BoLA-D18.4 BoLA-HD6 BoLA-JSP.1 BoLA-T2a BoLA-T2b BoLA-T2C SLA-1*0401 SLA-2*0401 SLA-3*0401 or type allele names (ie HLA-A0101) separated by commas.. 

For list of allowed allele names click here List of MHC allele names.

Threshold for strong binders: % Rank  
Threshold for weak binders: % Rank  

Sort by predicted affinity  

Save output in XLS format 

Restrictions:
At most 5000 sequences per submission; each sequence not more than 20,000 amino acids and not less than 8 amino acids.

Confidentiality:
The sequences are kept confidential and will be deleted after processing.

Developed under the following contracts:

  * Agencia Nacional de Promoción Científica y Tecnológica, Argentina (PICT-2012-0115)

For publication of results, please cite:

• Gapped sequence alignment using artificial neural networks: application to the MHC class I system.
  Andreatta M, Nielsen M
  Bioinformatics (2016) Feb 15;32(4):511-7

  PubMed: 26515819   [PDF]

• Reliable prediction of T-cell epitopes using neural networks with novel sequence representations.
  Nielsen M, Lundegaard C, Worning P, Lauemoller SL, Lamberth K, Buus S, Brunak S, Lund O.
  Protein Sci., (2003) 12:1007-17

  PubMed: 12717023