Literature DB >> 14761244

Genome-derived vaccines.

Anne S De Groot1, Rino Rappuoli.   

Abstract

Vaccine research entered a new era when the complete genome of a pathogenic bacterium was published in 1995. Since then, more than 97 bacterial pathogens have been sequenced and at least 110 additional projects are now in progress. Genome sequencing has also dramatically accelerated: high-throughput facilities can draft the sequence of an entire microbe (two to four megabases) in 1 to 2 days. Vaccine developers are using microarrays, immunoinformatics, proteomics and high-throughput immunology assays to reduce the truly unmanageable volume of information available in genome databases to a manageable size. Vaccines composed by novel antigens discovered from genome mining are already in clinical trials. Within 5 years we can expect to see a novel class of vaccines composed by genome-predicted, assembled and engineered T- and Bcell epitopes. This article addresses the convergence of three forces--microbial genome sequencing, computational immunology and new vaccine technologies--that are shifting genome mining for vaccines onto the forefront of immunology research.

Mesh:

Substances:

Year:  2004        PMID: 14761244     DOI: 10.1586/14760584.3.1.59

Source DB:  PubMed          Journal:  Expert Rev Vaccines        ISSN: 1476-0584            Impact factor:   5.217


  29 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.  Expression library immunization: a road map for discovery of vaccines against infectious diseases.

Authors:  Adel M Talaat; Katherine Stemke-Hale
Journal:  Infect Immun       Date:  2005-11       Impact factor: 3.441

3.  Search for Bacillus anthracis potential vaccine candidates by a functional genomic-serologic screen.

Authors:  Orit Gat; Haim Grosfeld; Naomi Ariel; Itzhak Inbar; Galia Zaide; Yehoshua Broder; Anat Zvi; Theodor Chitlaru; Zeev Altboum; Dana Stein; Sara Cohen; Avigdor Shafferman
Journal:  Infect Immun       Date:  2006-07       Impact factor: 3.441

Review 4.  Review of meningococcal group B vaccines.

Authors:  Dan M Granoff
Journal:  Clin Infect Dis       Date:  2010-03-01       Impact factor: 9.079

5.  The utility and limitations of current Web-available algorithms to predict peptides recognized by CD4 T cells in response to pathogen infection.

Authors:  Francisco A Chaves; Alvin H Lee; Jennifer L Nayak; Katherine A Richards; Andrea J Sant
Journal:  J Immunol       Date:  2012-03-30       Impact factor: 5.422

6.  Identification of MHC class II restricted T-cell-mediated reactivity against MHC class I binding Mycobacterium tuberculosis peptides.

Authors:  Mingjun Wang; Sheila T Tang; Anette Stryhn; Sune Justesen; Mette V Larsen; Morten H Dziegiel; David M Lewinsohn; Søren Buus; Ole Lund; Mogens H Claesson
Journal:  Immunology       Date:  2011-02-07       Impact factor: 7.397

7.  Improved prediction of MHC class I binders/non-binders peptides through artificial neural network using variable learning rate: SARS corona virus, a case study.

Authors:  Sudhir Singh Soam; Bharat Bhasker; Bhartendu Nath Mishra
Journal:  Adv Exp Med Biol       Date:  2011       Impact factor: 2.622

Review 8.  Strategies toward vaccines against Burkholderia mallei and Burkholderia pseudomallei.

Authors:  Sara K Bondi; Joanna B Goldberg
Journal:  Expert Rev Vaccines       Date:  2008-11       Impact factor: 5.217

Review 9.  Benchmarking B-cell epitope prediction for the design of peptide-based vaccines: problems and prospects.

Authors:  Salvador Eugenio C Caoili
Journal:  J Biomed Biotechnol       Date:  2010-03-30

10.  Meningococcal factor H-binding protein variants expressed by epidemic capsular group A, W-135, and X strains from Africa.

Authors:  P T Beernink; D A Caugant; J A Welsch; O Koeberling; D M Granoff
Journal:  J Infect Dis       Date:  2009-05-01       Impact factor: 5.226

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.