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Journal ArticleDOI

Designing immunogenic peptides

Darren R. Flower
- 01 Dec 2013 - 
- Vol. 9, Iss: 12, pp 749-753
TLDR
Peptides fulfill many roles in immunology, yet none are more important than their role as immunogenic epitopes driving the adaptive immune response, the authors' ultimate bulwark against infectious disease.
Abstract
Peptides fulfill many roles in immunology, yet none are more important than their role as immunogenic epitopes driving the adaptive immune response, our ultimate bulwark against infectious disease. Peptide epitopes are mediated primarily by their interaction with major histocompatibility complexes (T-cell epitopes) and antibodies (B-cell epitopes). As pathogen genomes continue to be revealed, both experimental and computational epitope mapping are becoming crucial tools in vaccine discovery1,2. Immunoinformatics offers many tools, techniques and approaches for in silico epitope characterization, which is capable of greatly accelerating epitope design.

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Citations
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Journal ArticleDOI

Towards high-throughput immunomics for infectious diseases: use of next-generation peptide microarrays for rapid discovery and mapping of antigenic determinants

TL;DR: The power of high-density peptide chips for the discovery of pathogen-specific linear B-cell epitopes from clinical samples are shown, setting the stage for high-throughput biomarker discovery screenings and proteome-wide studies of immune responses against pathogens.
Journal ArticleDOI

Peptide-based immunotherapeutics and vaccines.

TL;DR: This special issue on peptide-based vaccines has incorporated 9 original articles and two reviews that deal with and examine various aspects of peptides-based vaccine design.
Journal ArticleDOI

Peptides and peptidomimetics as immunomodulators

TL;DR: The design of peptides/peptidomimetics for immunomodulation in autoimmune diseases and cancer is reviewed and peptide epitopes are used in such a way that the body is trained to recognize and fight the cancer cells locally as well as systemically.
References
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Journal ArticleDOI

NetMHC-3.0: accurate web accessible predictions of human, mouse and monkey MHC class I affinities for peptides of length 8–11

TL;DR: The training method underlying the server is the best available, and has been used to predict possible MHC-binding peptides in a series of pathogen viral proteomes including SARS, Influenza and HIV, resulting in an average of 75–80% confirmed MHC binders.
Journal ArticleDOI

HLA class I supertypes: a revised and updated classification

TL;DR: An updated classification of HLA-A and -B class I alleles into supertypes is provided, allowing others to utilize the classification approach going forward and to facilitate epitope identification and vaccine design studies, as well as investigations into disease association and correlates of immunity.
Journal ArticleDOI

T-cell epitope vaccine design by immunoinformatics

TL;DR: Different sequence- and structure-based immunoinformatics methods are reviewed in the paper and the increased understanding of antigen recognition at molecular level has resulted in the development of rationally designed peptide vaccines.
Journal ArticleDOI

Benchmarking B cell epitope prediction: underperformance of existing methods

TL;DR: This work assesses 484 amino acid propensity scales in combination with ranges of plotting parameters to examine exhaustively the correlation of peaks and epitope location within 50 proteins mapped for polyclonal responses and confirms the null hypothesis.
Journal ArticleDOI

A community resource benchmarking predictions of peptide binding to MHC-I molecules.

TL;DR: A large set of 48,828 quantitative peptide-binding affinity measurements relating to 48 different mouse, human, macaque, and chimpanzee MHC class I alleles is made public to provide a transparent prediction evaluation allowing bioinformaticians to identify promising features of prediction methods and providing guidance to immunologists regarding the reliability of prediction tools.
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