Evidence map›Paper›PMID 26155959›Full record

ArticleHuman vaccines & immunotherapeutics2015

iVAX: An integrated toolkit for the selection and optimization of antigens and the design of epitope-driven vaccines.

Leonard Moise, Andres Gutierrez, Farzana Kibria, Rebecca Martin, Ryan Tassone, Rui Liu, Frances Terry, Bill Martin, Anne S De Groot

Open access · hybridAbstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 115 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Leonard Moisea Institute for Immunology and Informatics; University of Rhode Island ; Providence , RI USA.
Andres Gutierrez
Farzana Kibria
Rebecca Martin
Ryan Tassone
Rui Liu
Frances Terry
Bill Martin
Anne S De Groot
Providence College · USEpiVax (United States) · USInstitute for Medical Informatics and Biostatistics · CHUniversity of Rhode Island · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational vaccine design, also known as computational vaccinology, encompasses epitope mapping, antigen selection and immunogen design using computational tools. The iVAX toolkit is an integrated set of tools that has been in development since 1998 by De Groot and Martin. It comprises a suite of immunoinformatics algorithms for triaging candidate antigens, selecting immunogenic and conserved T cell epitopes, eliminating regulatory T cell epitopes, and optimizing antigens for immunogenicity and protection against disease. iVAX has been applied to vaccine development programs for emerging infectious diseases, cancer antigens and biodefense targets. Several iVAX vaccine design projects have had success in pre-clinical studies in animal models and are progressing toward clinical studies. The toolkit now incorporates a range of immunoinformatics tools for infectious disease and cancer immunotherapy vaccine design. This article will provide a guide to the iVAX approach to computational vaccinology.

Indexed as

AnimalsAntigensComputational BiologyDrug DiscoveryEpitopesHumansVaccines, SyntheticAntigensEpitopesVaccines, SyntheticCancer immunotherapycomputational vaccinologyconservatrixepiMatrixepitopeepitope-based vaccineepitope-driven vaccineHLAimmunoinformaticsiVAXjanusMatrixT cell

Identifiers

PMID26155959
PMCPMC4635942
OpenAlexW2166808662

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.