Demo Data from SIGIR 2026 / reviewers in the wild / expert
Derek Gatherer
dblp:10/5229
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
0000-0002-7385-5734ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › immunoinformatics
epitope-based vaccine design |
0.2 | 1 | 2016 | Towards the knowledge-based design of universal influenza epitope ensemble vaccines · Bioinform. 2016 |
Bioinformatics and computational biology
immunoinformatics |
0.2 | 1 | 2016 | Towards the knowledge-based design of universal influenza epitope ensemble vaccines · Bioinform. 2016 |
Bioinformatics and computational biology › immunoinformatics › epitope prediction
t-cell epitope prediction |
0.1 | 1 | 2016 | Towards the knowledge-based design of universal influenza epitope ensemble vaccines · Bioinform. 2016 |
Methods — techniques the papers use, named apart from their topics
immunological prediction · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Towards the knowledge-based design of universal influenza epitope ensemble vaccinesabstractMOTIVATION: Influenza A viral heterogeneity remains a significant threat due to unpredictable antigenic drift in seasonal influenza and antigenic shifts caused by the emergence of novel subtypes. Annual review of multivalent influenza vaccines targets strains of influenza A and B likely to be predominant in future influenza seasons. This does not induce broad, cross protective immunity against emergent subtypes. Better strategies are needed to prevent future pandemics. Cross-protection can be achieved by activating CD8+ and CD4+ T cells against highly conserved regions of the influenza genome. We combine available experimental data with informatics-based immunological predictions to help design vaccines potentially able to induce cross-protective T-cells against multiple influenza subtypes. RESULTS: To exemplify our approach we designed two epitope ensemble vaccines comprising highly conserved and experimentally verified immunogenic influenza A epitopes as putative non-seasonal influenza vaccines; one specifically targets the US population and the other is a universal vaccine. The USA-specific vaccine comprised 6 CD8+ T cell epitopes (GILGFVFTL, FMYSDFHFI, GMDPRMCSL, SVKEKDMTK, FYIQMCTEL, DTVNRTHQY) and 3 CD4+ epitopes (KGILGFVFTLTVPSE, EYIMKGVYINTALLN, ILGFVFTLTVPSERG). The universal vaccine comprised 8 CD8+ epitopes: (FMYSDFHFI, GILGFVFTL, ILRGSVAHK, FYIQMCTEL, ILKGKFQTA, YYLEKANKI, VSDGGPNLY, YSHGTGTGY) and the same 3 CD4+ epitopes. Our USA-specific vaccine has a population protection coverage (portion of the population potentially responsive to one or more component epitopes of the vaccine, PPC) of over 96 and 95% coverage of observed influenza subtypes. The universal vaccine has a PPC value of over 97 and 88% coverage of observed subtypes. AVAILABILITY AND IMPLEMENTATION: http://imed.med.ucm.es/Tools/episopt.html CONTACT: [email protected]. Qamar M. Sheikh, Derek Gatherer, Pedro A. Reche, Darren R. Flower |
Bioinform. | 2 |