Literature DB >> 25224605

Computational modelling approaches to vaccinology.

Francesco Pappalardo1, Darren Flower2, Giulia Russo3, Marzio Pennisi4, Santo Motta4.   

Abstract

Excepting the Peripheral and Central Nervous Systems, the Immune System is the most complex of somatic systems in higher animals. This complexity manifests itself at many levels from the molecular to that of the whole organism. Much insight into this confounding complexity can be gained through computational simulation. Such simulations range in application from epitope prediction through to the modelling of vaccination strategies. In this review, we evaluate selectively various key applications relevant to computational vaccinology: these include technique that operates at different scale that is, from molecular to organisms and even to population level.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Keywords:  Computational vaccinology; Epitopes; Immune system; Modelling; Simulations; Vaccine research

Mesh:

Substances:

Year:  2014        PMID: 25224605     DOI: 10.1016/j.phrs.2014.08.006

Source DB:  PubMed          Journal:  Pharmacol Res        ISSN: 1043-6618            Impact factor:   7.658


  9 in total

1.  Mathematical modeling based on ordinary differential equations: A promising approach to vaccinology.

Authors:  Carla Rezende Barbosa Bonin; Guilherme Cortes Fernandes; Rodrigo Weber Dos Santos; Marcelo Lobosco
Journal:  Hum Vaccin Immunother       Date:  2016-12-27       Impact factor: 3.452

Review 2.  Leveraging Computational Modeling to Understand Infectious Diseases.

Authors:  Adrianne L Jenner; Rosemary A Aogo; Courtney L Davis; Amber M Smith; Morgan Craig
Journal:  Curr Pathobiol Rep       Date:  2020-09-24

Review 3.  Review of the systems biology of the immune system using agent-based models.

Authors:  Snehal B Shinde; Manish P Kurhekar
Journal:  IET Syst Biol       Date:  2018-06       Impact factor: 1.615

4.  A qualitatively validated mathematical-computational model of the immune response to the yellow fever vaccine.

Authors:  Carla R B Bonin; Guilherme C Fernandes; Rodrigo W Dos Santos; Marcelo Lobosco
Journal:  BMC Immunol       Date:  2018-05-25       Impact factor: 3.615

5.  Application of Modeling Approaches to Explore Vaccine Adjuvant Mode-of-Action.

Authors:  Paul R Buckley; Kieran Alden; Margherita Coccia; Aurélie Chalon; Catherine Collignon; Stéphane T Temmerman; Arnaud M Didierlaurent; Robbert van der Most; Jon Timmis; Claus A Andersen; Mark C Coles
Journal:  Front Immunol       Date:  2019-09-12       Impact factor: 7.561

Review 6.  Vaccinology in the third millennium: scientific and social challenges.

Authors:  Gregory A Poland; Jennifer A Whitaker; Caroline M Poland; Inna G Ovsyannikova; Richard B Kennedy
Journal:  Curr Opin Virol       Date:  2016-03-30       Impact factor: 7.090

7.  Advances in Computational Immunology.

Authors:  Francesco Pappalardo; Vladimir Brusic; Marzio Pennisi; Guanglan Zhang
Journal:  J Immunol Res       Date:  2015-12-30       Impact factor: 4.818

8.  In silico design of a T-cell epitope vaccine candidate for parasitic helminth infection.

Authors:  Ayat Zawawi; Ruth Forman; Hannah Smith; Iris Mair; Murtala Jibril; Munirah H Albaqshi; Andrew Brass; Jeremy P Derrick; Kathryn J Else
Journal:  PLoS Pathog       Date:  2020-03-23       Impact factor: 6.823

Review 9.  Shelter from the cytokine storm: pitfalls and prospects in the development of SARS-CoV-2 vaccines for an elderly population.

Authors:  Annalisa Ciabattini; Paolo Garagnani; Francesco Santoro; Rino Rappuoli; Claudio Franceschi; Donata Medaglini
Journal:  Semin Immunopathol       Date:  2020-11-06       Impact factor: 9.623

  9 in total

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