About: Better Epitope Discovery, Precision Immune Engineering, and Accelerated Vaccine Design Using Immunoinformatics Tools

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Better Epitope Discovery, Precision Immune Engineering, and Accelerated Vaccine Design Using Immunoinformatics Tools Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Better Epitope Discovery, Precision Immune Engineering, and Accelerated Vaccine Design Using Immunoinformatics Tools
Creator	Martin, William Moise, Leonard Ardito, Matt Bottomley, Matthew De Groot, Anne Draper, Simon Terry, Frances Hoft, Daniel Ross, Ted Takahashi, Yoshimasa Minassian, Angela Noe, Amy Silk, Sarah Nielsen, Carolyn Ashfield, Rebecca Gutierrez, Andres Hindocha, Pooja Kotraiah, Vinayaka Richard, Guilhem Richards, Susan
Source	Medline; PMC
abstract	Computational vaccinology includes epitope mapping, antigen selection, and immunogen design using computational tools. Tools that facilitate the in silico prediction of immune response to biothreats, emerging infectious diseases, and cancers can accelerate the design of novel and next generation vaccines and their delivery to the clinic. Over the past 20 years, vaccinologists, bioinformatics experts, and advanced programmers based in Providence, Rhode Island, USA have advanced the development of an integrated toolkit for vaccine design called iVAX, that is secure and user-accessible by internet. This integrated set of immunoinformatic tools comprises algorithms for scoring and triaging candidate antigens, selecting immunogenic and conserved T cell epitopes, re-engineering or eliminating regulatory T cell epitopes, and re-designing antigens to induce immunogenicity and protection against disease for humans and livestock. Commercial and academic applications of iVAX have included identifying immunogenic T cell epitopes in the development of a T-cell based human multi-epitope Q fever vaccine, designing novel influenza vaccines, identifying cross-conserved T cell epitopes for a malaria vaccine, and analyzing immune responses in clinical vaccine studies. Animal vaccine applications to date have included viral infections of pigs such as swine influenza A, PCV2, and African Swine Fever. “Rapid-Fire” applications for biodefense have included a demonstration project for Lassa Fever and Q fever. As recent infectious disease outbreaks underscore the significance of vaccine-driven preparedness, the integrated set of tools available on the iVAX toolkit stand ready to help vaccine developers deliver genome-derived, epitope-driven vaccines.
has issue date	2020-04-07(xsd:dateTime)
bibo:doi	10.3389/fimmu.2020.00442
bibo:pmid	32318055
has license	cc-by
sha1sum (hex)	6dde6bd27d632a48fdedc6ccc3b396c0d5f3e2d6
schema:url	https://doi.org/10.3389/fimmu.2020.00442
resource representing a document's title	Better Epitope Discovery, Precision Immune Engineering, and Accelerated Vaccine Design Using Immunoinformatics Tools
has PubMed Central identifier	PMC7154102
has PubMed identifier	32318055
schema:publication	Front Immunol
resource representing a document's body	covid:6dde6bd27d632a48fdedc6ccc3b396c0d5f3e2d6#body_text
is schema:about of	named entity 'antigen' named entity 'developers' named entity 'immune responses' named entity 'biodefense' named entity 'underscore' named entity 'T-cell' named entity 'antigens' named entity 'Immune' named entity 'ANTIGENS' named entity 'RESPONSE TO' named entity 'IMMUNOGENICITY' named entity 'RECENT' named entity 'CANDIDATE' named entity 'IDENTIFYING' named entity 'EPITOPES' named entity 'COMPUTATIONAL' named entity 'PROTECTION' named entity 'USING' named entity 'HUMAN' named entity 'REGULATORY T CELL' named entity 'PREDICTION' named entity 'Q FEVER' named entity 'EPITOPE MAPPING' named entity 'ENGINEERING' named entity 'CROSS' named entity 'viral infections' named entity 'bioinformatics' named entity 'triaging' named entity 'scoring' named entity 'outbreaks' named entity 'immunogenic' named entity 'immunogenicity' named entity 'vaccinology' named entity 'immunogenic' named entity 'epitopes' named entity 'internet' named entity 'Rhode Island' named entity 'ready' named entity 'Q fever vaccine' named entity 'vaccinology' named entity 'Q fever' named entity 'epitopes' named entity 'vaccine' named entity 'epitope' named entity 'epitopes' named entity 'antigens' named entity 'triaging' named entity 'epitopes' named entity 'vaccine studies' named entity 'vaccine' named entity 'human genome' named entity 'immunogenic' named entity 'database' named entity 'University of Georgia' named entity 'immunoinformatics' named entity 'adaptive immunity' named entity 'immune checkpoint inhibitors' named entity 'immune defense' named entity 'immunogenicity' named entity 'vaccine' named entity 'Homology' named entity 'CTL'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software