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Application of Reverse Vaccinology and Immunoinformatic Strategies for the Identification of Vaccine Candidates Against Shigella flexneri

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Bacterial Vaccines

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2414))

Abstract

Reverse vaccinology (RV) was first introduced by Rappuoli for the development of an effective vaccine against serogroup B Neisseria meningitidis (MenB). With the advances in next generation sequencing technologies, the amount of genomic data has risen exponentially. Since then, the RV approach has widely been used to discover potential vaccine protein targets by screening whole genome sequences of pathogens using a combination of sophisticated computational algorithms and bioinformatic tools. In contrast to conventional vaccine development strategies, RV offers a novel method to facilitate rapid vaccine design and reduces reliance on the traditional, relatively tedious, and labor-intensive approach based on Pasteur”s principles of isolating, inactivating, and injecting the causative agent of an infectious disease. Advances in biocomputational techniques have remarkably increased the significance for the rapid identification of the proteins that are secreted or expressed on the surface of pathogens. Immunogenic proteins which are able to induce the immune response in the hosts can be predicted based on the immune epitopes present within the protein sequence. To date, RV has successfully been applied to develop vaccines against a variety of infectious pathogens. In this chapter, we apply a pipeline of bioinformatic programs for identification of Shigella flexneri potential vaccine candidates as an illustration immunoinformatic tools available for RV.

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Acknowledgments

The authors acknowledge the funding support provided for this work by USM Research University (Individual) Grant (no.: 1001.CIPPM.8011078) and The Malaysian Ministry of Higher Education of the Higher Institutions Centre of Excellence Program under Grant (no: 311/CIPPM/4401005). The authors would like to thank Associate Professor Dr. Oliver He Yongqun at University of Michigan Medical School for providing his excellent guidance on the Vaxign Vaccine Design platform.

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Authors and Affiliations

  1. School of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, Malaysia

    Chiuan Yee Leow

  2. Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, Kajang, Selangor, Malaysia

    Candy Chuah

  3. Faculty of Pharmacy, Universiti Teknologi MARA, Kuala Selangor, Selangor, Malaysia

    Abu Bakar Abdul Majeed

  4. School of Health Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia

    Norazmi Mohd Nor

  5. Institute for Research in Molecular Medicine, Universiti Sains Malaysia, Penang, Malaysia

    Chiuan Herng Leow

Authors
  1. Chiuan Yee Leow
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  2. Candy Chuah
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  3. Abu Bakar Abdul Majeed
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  4. Norazmi Mohd Nor
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  5. Chiuan Herng Leow
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Corresponding author

Correspondence to Chiuan Yee Leow .

Editor information

Editors and Affiliations

  1. Department of Infectious Disease, Imperial College London, London, UK

    Fadil Bidmos

  2. Department of Infectious Disease, Imperial College London, London, UK

    Janine Bossé

  3. Department of Infectious Disease, Imperial College London, London, UK

    Paul Langford

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© 2022 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature

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Leow, C.Y., Chuah, C., Abdul Majeed, A.B., Mohd Nor, N., Leow, C.H. (2022). Application of Reverse Vaccinology and Immunoinformatic Strategies for the Identification of Vaccine Candidates Against Shigella flexneri. In: Bidmos, F., Bossé, J., Langford, P. (eds) Bacterial Vaccines. Methods in Molecular Biology, vol 2414. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1900-1_2

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  • DOI: https://doi.org/10.1007/978-1-0716-1900-1_2

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-1899-8

  • Online ISBN: 978-1-0716-1900-1

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