Literature DB >> 15773067

A roadmap for the immunomics of category A-C pathogens.

Alessandro Sette1, Ward Fleri, Bjoern Peters, Muthuraman Sathiamurthy, Huynh-Hoa Bui, Stephen Wilson.   

Abstract

The National Institute of Allergy and Infectious Diseases (NIAID), part of the National Institutes of Health (NIH), recently awarded 14 contracts to fund the Large-Scale Antibody and T Cell Epitope Discovery Program. This initiative is designed to identify immune epitopes from selected infectious agents utilizing complementary methods for epitope discovery. NIAID will make information on each newly identified epitope freely available to scientists worldwide through the Immune Epitope Database and Analysis Resource (IEDB), currently under development. On October 12-14, 2004, representatives of NIAID met in San Diego, California, with a group of investigators from various research institutions to discuss progress and plans for the large-scale epitope discovery projects and for the establishment of the IEDB. It is anticipated that these initiatives will establish detailed maps of immune reactions toward several important complex pathogens, which in turn will foster development of new diagnostic, immune-based therapeutic, and vaccine programs. Herein is an account of the meeting and its results.

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Year:  2005        PMID: 15773067     DOI: 10.1016/j.immuni.2005.01.009

Source DB:  PubMed          Journal:  Immunity        ISSN: 1074-7613            Impact factor:   31.745


  36 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.  MHC class II epitope predictive algorithms.

Authors:  Morten Nielsen; Ole Lund; Søren Buus; Claus Lundegaard
Journal:  Immunology       Date:  2010-04-12       Impact factor: 7.397

3.  The PickPocket method for predicting binding specificities for receptors based on receptor pocket similarities: application to MHC-peptide binding.

Authors:  Hao Zhang; Ole Lund; Morten Nielsen
Journal:  Bioinformatics       Date:  2009-03-17       Impact factor: 6.937

4.  Pan-specific MHC class I predictors: a benchmark of HLA class I pan-specific prediction methods.

Authors:  Hao Zhang; Claus Lundegaard; Morten Nielsen
Journal:  Bioinformatics       Date:  2008-11-07       Impact factor: 6.937

Review 5.  Plasmodium immunomics.

Authors:  Denise L Doolan
Journal:  Int J Parasitol       Date:  2010-09-16       Impact factor: 3.981

6.  Immunomics of the koala (Phascolarctos cinereus).

Authors:  Kendra C Abts; Jamie A Ivy; J Andrew DeWoody
Journal:  Immunogenetics       Date:  2015-03-13       Impact factor: 2.846

7.  MHC motif viewer.

Authors:  Nicolas Rapin; Ilka Hoof; Ole Lund; Morten Nielsen
Journal:  Immunogenetics       Date:  2008-09-03       Impact factor: 2.846

Review 8.  The key role of genomics in modern vaccine and drug design for emerging infectious diseases.

Authors:  Kate L Seib; Gordon Dougan; Rino Rappuoli
Journal:  PLoS Genet       Date:  2009-10-26       Impact factor: 5.917

9.  The immune epitope database 2.0.

Authors:  Randi Vita; Laura Zarebski; Jason A Greenbaum; Hussein Emami; Ilka Hoof; Nima Salimi; Rohini Damle; Alessandro Sette; Bjoern Peters
Journal:  Nucleic Acids Res       Date:  2009-11-11       Impact factor: 16.971

10.  T-cell epitope prediction: rescaling can mask biological variation between MHC molecules.

Authors:  Aidan MacNamara; Ulrich Kadolsky; Charles R M Bangham; Becca Asquith
Journal:  PLoS Comput Biol       Date:  2009-03-20       Impact factor: 4.475

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