Literature DB >> 27718189

In Silico Adjuvant Design and Validation.

Matthew N Davies1, Helene Pere2,3, Iris Bosschem4, Freddy Haesebrouck4, Bram Flahou4, Eric Tartour2,3, Darren R Flower5, David F Tough6, Jagadeesh Bayry7,8,9,10.   

Abstract

Adjuvants are substances that boost the protective immune response to vaccine antigens. The majority of known adjuvants have been identified through the use of empirical approaches. Our aim was to identify novel adjuvants with well-defined cellular and molecular mechanisms by combining a knowledge of immunoregulatory mechanisms with an in silico approach. CD4+CD25+FoxP3+ regulatory T cells (Tregs) inhibit the protective immune responses to vaccines by suppressing the activation of antigen presenting cells such as dendritic cells (DCs). In this chapter, we describe the identification and functional validation of small molecule antagonists to CCR4, a chemokine receptor expressed on Tregs. The CCR4 binds the chemokines CCL22 and CCL17 that are produced in large amounts by activated innate cells including DCs. In silico identified small molecule CCR4 antagonists inhibited the migration of Tregs both in vitro and in vivo and when combined with vaccine antigens, significantly enhanced protective immune responses in experimental models.

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Keywords:  Adjuvant; CCR4; Dendritic cells; Regulatory T cell; Small molecule; Vaccine in silico

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Year:  2017        PMID: 27718189     DOI: 10.1007/978-1-4939-6445-1_8

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  1 in total

1.  Model verification tools: a computational framework for verification assessment of mechanistic agent-based models.

Authors:  Giulia Russo; Giuseppe Alessandro Parasiliti Palumbo; Marzio Pennisi; Francesco Pappalardo
Journal:  BMC Bioinformatics       Date:  2022-05-19       Impact factor: 3.307

  1 in total

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