Literature DB >> 17467575

Harnessing bioinformatics to discover new vaccines.

Matthew N Davies1, Darren R Flower.   

Abstract

Vaccine design is highly suited to the application of in silico techniques, for both the discovery and development of new and existing vaccines. Here, we discuss computational contributions to epitope mapping and reverse vaccinology, two techniques central to the new discipline of immunomics. Also discussed are methods to improve the efficiency of vaccination, such as codon optimization and adjuvant discovery in addition to the identification of allergenic proteins. We also review current software developed to facilitate vaccine design.

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Year:  2007        PMID: 17467575     DOI: 10.1016/j.drudis.2007.03.010

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  52 in total

Review 1.  Immunoinformatics: an integrated scenario.

Authors:  Namrata Tomar; Rajat K De
Journal:  Immunology       Date:  2010-08-16       Impact factor: 7.397

Review 2.  Understanding the focused CD4 T cell response to antigen and pathogenic organisms.

Authors:  Jason M Weaver; Andrea J Sant
Journal:  Immunol Res       Date:  2009-02-07       Impact factor: 2.829

Review 3.  Recent Trends in System-Scale Integrative Approaches for Discovering Protective Antigens Against Mycobacterial Pathogens.

Authors:  Aarti Rana; Shweta Thakur; Girish Kumar; Yusuf Akhter
Journal:  Front Genet       Date:  2018-11-27       Impact factor: 4.599

4.  Computational tools for modern vaccine development.

Authors:  Andaleeb Sajid; Yogendra Singh; Pratyoosh Shukla
Journal:  Hum Vaccin Immunother       Date:  2019-12-18       Impact factor: 3.452

Review 5.  Viral sequence diversity: challenges for AIDS vaccine designs.

Authors:  Sean P McBurney; Ted M Ross
Journal:  Expert Rev Vaccines       Date:  2008-11       Impact factor: 5.217

6.  Development of a vaccine to prevent Japanese encephalitis: a brief review.

Authors:  Viroj Wiwanitkit
Journal:  Int J Gen Med       Date:  2009-12-29

7.  T-cell epitope prediction and immune complex simulation using molecular dynamics: state of the art and persisting challenges.

Authors:  Matthew N Davies; Darren R Flower; Kanchan Phadwal; Isabel K Macdonald; Peter V Coveney; Shunzhou Wan
Journal:  Immunome Res       Date:  2010-11-03

8.  Computer aided selection of candidate vaccine antigens.

Authors:  Darren R Flower; Isabel K Macdonald; Kamna Ramakrishnan; Matthew N Davies; Irini A Doytchinova
Journal:  Immunome Res       Date:  2010-11-03

9.  In silico identified CCR4 antagonists target regulatory T cells and exert adjuvant activity in vaccination.

Authors:  Jagadeesh Bayry; Elma Z Tchilian; Matthew N Davies; Emily K Forbes; Simon J Draper; Srini V Kaveri; Adrian V S Hill; Michel D Kazatchkine; Peter C L Beverley; Darren R Flower; David F Tough
Journal:  Proc Natl Acad Sci U S A       Date:  2008-07-11       Impact factor: 11.205

10.  Discovery of novel targets for multi-epitope vaccines: screening of HIV-1 genomes using association rule mining.

Authors:  Sinu Paul; Helen Piontkivska
Journal:  Retrovirology       Date:  2009-07-06       Impact factor: 4.602

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