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Mendeley readers
| Title |
HLAsupE: an integrated database of HLA supertype-specific epitopes to aid in the development of vaccines with broad coverage of the human population
|
|---|---|
| Published in |
BMC Immunology, June 2016
|
| DOI | 10.1186/s12865-016-0156-x |
| Pubmed ID | |
| Authors |
Shufeng Wang, Ling Guo, Dong Liu, Wei Liu, Yuzhang Wu |
| Abstract |
Promiscuous T-cell epitopes that can be presented by multiple human leukocyte antigens (HLAs) are prime targets for vaccine and immunotherapy development because they are effective in a high proportion of the human population. Although there are a number of epitope databases currently available online, the epitope data in these databases were annotated using specific MHC restrictions, and none of these databases was specifically designed for retrieving data on promiscuous epitopes. HLAsupE is an integrated database of HLA supertype-specific epitopes (promiscuous T-cell epitopes in the context of HLA supertypes). The source data for the T-cell activities and HLA-binding capacities of peptides with a specific HLA restriction were extracted from public epitope databases. After a manual curation, these allele-specific data were integrated into supertype-specific datasets based on the defined supertypes and corresponding alleles. Each supertype-specific peptide in HLAsupE is annotated in terms of its cross-reactivity to HLA molecules within the same supertype. Promiscuous peptides that can be presented by multiple HLA molecules across multiple HLA supertypes were also included in this database. Several web-based tools are provided to access and download the data. HLAsupE is the first database of promiscuous T cell epitopes that is organized based on the HLA supertypes. The main advantage of this database is the ability to search for promiscuous T-cell epitopes based on the cross-reactivity to specific alleles or supertypes. HLAsupE will be a valuable resource for the development of epitope-based vaccines and immunotherapies with broad coverage of human population. |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 27% |
| Researcher | 5 | 23% |
| Student > Bachelor | 2 | 9% |
| Professor | 2 | 9% |
| Student > Doctoral Student | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 6 | 27% |
| Agricultural and Biological Sciences | 6 | 27% |
| Medicine and Dentistry | 3 | 14% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 4 | 18% |