Literature DB >> 11570507

Bioinformatics: use in bacterial vaccine discovery.

R J Zagursky1, D Russell.   

Abstract

Bioinformatics has now become a common laboratory name for groups studying genomic sequences. It is composed of many different, yet interrelated scientific fields such as genomics, proteomics, and transcriptional profiling. The availability of complete genomic sequences, especially prokaryotic organisms, allows one to rapidly identify, analyze, and clone genes of interest. For bacterial vaccine discovery, one can "mine" the genomic sequence for potential surface targets using various algorithms, characterize these gene targets, and produce primers for cloning, all before one enters the wet laboratory. This review will focus on various genomic mining tools/algorithms available for predicting open reading frames and their associated annotation (if known), physical and functional characterization, and cellular localization. Finally, examples are given of how all of this is being used for the identification of potential bacterial vaccine candidates.

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Year:  2001        PMID: 11570507     DOI: 10.2144/01313dd02

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  5 in total

Review 1.  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

Review 2.  Ten years of bacterial genome sequencing: comparative-genomics-based discoveries.

Authors:  Tim T Binnewies; Yair Motro; Peter F Hallin; Ole Lund; David Dunn; Tom La; David J Hampson; Matthew Bellgard; Trudy M Wassenaar; David W Ussery
Journal:  Funct Integr Genomics       Date:  2006-05-12       Impact factor: 3.410

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.  Antigens Rv0310c and Rv1255c are promising novel biomarkers for the diagnosis of Mycobacterium tuberculosis infection.

Authors:  Liulin Luo; Lin Zhu; Jun Yue; Jianping Liu; Guoyuan Liu; Xuelian Zhang; Honghai Wang; Ying Xu
Journal:  Emerg Microbes Infect       Date:  2017-07-12       Impact factor: 7.163

5.  The Exposed Proteomes of Brachyspira hyodysenteriae and B. pilosicoli.

Authors:  Vanessa Casas; Santiago Vadillo; Carlos San Juan; Montserrat Carrascal; Joaquin Abian
Journal:  Front Microbiol       Date:  2016-07-21       Impact factor: 5.640

  5 in total

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