MHCPred 2.0: an updated quantitative T-cell epitope prediction server.
The accurate computational prediction of T-cell epitopes can greatly reduce the experimental overhead implicit in candidate epitope identification within genomic sequences. In this article we present MHCPred 2.0, an enhanced version of our online, quantitative T-cell epitope prediction server. The previous version of MHCPred included mostly alleles from the human leukocyte antigen A (HLA-A) locus. In MHCPred 2.0, mouse models are added and computational constraints removed. Currently the server includes 11 human HLA class I, three human HLA class II, and three mouse class I models. Additionally, a binding model for the human transporter associated with antigen processing (TAP) is incorporated into the new MHCPred. A tool for the design of heteroclitic peptides is also included within the server. To refine the veracity of binding affinities prediction, a confidence percentage is also now calculated for each peptide predicted.


BACKGROUND
As previously, MHCPred 2.0 is freely available at the URL http://www.jenner.ac.uk/MHCPred/


BACKGROUND
Darren R. Flower (darren.flower@jenner.ac.uk).
Guan
Pingping
P
Edward Jenner Institute for Vaccine Research, Compton, Berkshire, UK.
Hattotuwagama
Channa K
CK
Doytchinova
Irini A
IA
Flower
Darren R
DR
D000465:Algorithms; D000818:Animals; D017951:Antigen Presentation; D001665:Binding Sites; D003198:Computer Simulation; D018984:Epitopes, T-Lymphocyte / Q000737:chemistry* / Q000276:immunology; D006649:Histocompatibility Antigens / Q000737:chemistry* / Q000276:immunology; D006801:Humans; D020407:Internet; D008285:Major Histocompatibility Complex; D051379:Mice; D008956:Models, Chemical; D008958:Models, Molecular; D009862:Online Systems; D010455:Peptides / Q000737:chemistry / Q000276:immunology; D011485:Protein Binding; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software; D014584:User-Computer Interface
D018984:Epitopes, T-Lymphocyte; D006649:Histocompatibility Antigens; D010455:Peptides