Information technologies for vaccine research

Vladimir Brusic; J. Thomas August; Nikolai Petrovsky

doi:10.1586/14760584.4.3.407

Information technologies for vaccine research

Vladimir Brusic, J. Thomas August, Nikolai Petrovsky

Research output: Journal Publication › Review article › peer-review

27 Citations (Scopus)

Abstract

Vaccinology is a combinatorial science which studies the diversity of pathogens and the human immune system, and formulations that can modulate immune responses and prevent or cure disease. Huge amounts of data are produced by genomics and proteomics projects and large-scale screening of pathogen-host and antigen-host interactions. Current developments in computational vaccinology mainly support the analysis of antigen processing and presentation and the characterization of targets of immune response. Future development will also include systemic models of vaccine responses. Immunomics, the large-scale screening of immune processes which includes powerful immunoinformatic tools, offers great promise for future translation of basic immunology research advances into successful vaccines.

Original language	English
Pages (from-to)	407-417
Number of pages	11
Journal	Expert Review of Vaccines
Volume	4
Issue number	3
DOIs	https://doi.org/10.1586/14760584.4.3.407
Publication status	Published - Jun 2005
Externally published	Yes

Keywords

Computational vaccinology
Immunoinformatics
Immunologic databases
Immunomics
T-cell epitope prediction

ASJC Scopus subject areas

Immunology
Molecular Medicine
Pharmacology
Drug Discovery

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1586/14760584.4.3.407

Cite this

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title = "Information technologies for vaccine research",

abstract = "Vaccinology is a combinatorial science which studies the diversity of pathogens and the human immune system, and formulations that can modulate immune responses and prevent or cure disease. Huge amounts of data are produced by genomics and proteomics projects and large-scale screening of pathogen-host and antigen-host interactions. Current developments in computational vaccinology mainly support the analysis of antigen processing and presentation and the characterization of targets of immune response. Future development will also include systemic models of vaccine responses. Immunomics, the large-scale screening of immune processes which includes powerful immunoinformatic tools, offers great promise for future translation of basic immunology research advances into successful vaccines.",

keywords = "Computational vaccinology, Immunoinformatics, Immunologic databases, Immunomics, T-cell epitope prediction",

author = "Vladimir Brusic and August, {J. Thomas} and Nikolai Petrovsky",

note = "Funding Information: The work in immunoinformatics of Vladimir Brusic and J Thomas August is funded in part by the US Federal Funds from the National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services, under Grant No. 1 U19 AI56541 and Contract No. HHSN266200400085C.",

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language = "English",

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AU - Brusic, Vladimir

AU - August, J. Thomas

AU - Petrovsky, Nikolai

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PY - 2005/6

Y1 - 2005/6

N2 - Vaccinology is a combinatorial science which studies the diversity of pathogens and the human immune system, and formulations that can modulate immune responses and prevent or cure disease. Huge amounts of data are produced by genomics and proteomics projects and large-scale screening of pathogen-host and antigen-host interactions. Current developments in computational vaccinology mainly support the analysis of antigen processing and presentation and the characterization of targets of immune response. Future development will also include systemic models of vaccine responses. Immunomics, the large-scale screening of immune processes which includes powerful immunoinformatic tools, offers great promise for future translation of basic immunology research advances into successful vaccines.

AB - Vaccinology is a combinatorial science which studies the diversity of pathogens and the human immune system, and formulations that can modulate immune responses and prevent or cure disease. Huge amounts of data are produced by genomics and proteomics projects and large-scale screening of pathogen-host and antigen-host interactions. Current developments in computational vaccinology mainly support the analysis of antigen processing and presentation and the characterization of targets of immune response. Future development will also include systemic models of vaccine responses. Immunomics, the large-scale screening of immune processes which includes powerful immunoinformatic tools, offers great promise for future translation of basic immunology research advances into successful vaccines.

KW - Computational vaccinology

KW - Immunoinformatics

KW - Immunologic databases

KW - Immunomics

KW - T-cell epitope prediction

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Information technologies for vaccine research

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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