Name
Abstract | ||
|---|---|---|
T-cell recognition of peptide/major histocompatibility complex (MHC) is a prerequisite for cellular immunity. Recently, there has been an influx of bioinformatics tools to facilitate the identification of T-cell epitopes to specific MHC alleles. This article examines existing computational strategies for the study of peptide/MHC interactions. The most important bioinformatics tools and methods with relevance to the study of peptide/MHC interactions have been reviewed. We have also provided guidelines for predicting antigenic peptides based on the availability of existing experimental data. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1093/bib/bbl038 | BRIEFINGS IN BIOINFORMATICS |
Keywords | Field | DocType |
MHC,antigens/peptides/epitopes,prediction | Epitope,Biology,Antigen,Peptide,Immunity,Major histocompatibility complex,Bioinformatics,Immunogenicity | Journal |
Volume | Issue | ISSN |
8 | 2 | 1467-5463 |
Citations | PageRank | References |
19 | 1.40 | 21 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joo Chuan Tong | 1 | 182 | 9.00 |
| Tin Wee Tan | 2 | 566 | 36.14 |
| Shoba Ranganathan | 3 | 689 | 36.60 |