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In Silico Structure-Based Vaccine Design

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Computational Vaccine Design

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2673))

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Abstract

Structure-based vaccine design (SBVD) is an important technique in computational vaccine design that uses structural information on a targeted protein to design novel vaccine candidates. This increasing ability to rapidly model structural information on proteins and antibodies has provided the scientific community with many new vaccine targets and novel opportunities for future vaccine discovery. This chapter provides a comprehensive overview of the status of in silico SBVD and discusses the current challenges and limitations. Key strategies in the field of SBVD are exemplified by a case study on design of COVID-19 vaccines targeting SARS-CoV-2 spike protein.

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Authors and Affiliations

  1. Vaxine Pty Ltd, Adelaide, SA, Australia

    Sakshi Piplani, Yoshikazu Honda-Okubo, Varun Khanna & Nikolai Petrovsky

  2. School of Pharmacy, University of Nottingham, Nottingham, UK

    David Winkler

  3. Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC, Australia

    David Winkler

  4. Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, VIC, Australia

    David Winkler

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  1. Sakshi Piplani
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  2. David Winkler
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  3. Yoshikazu Honda-Okubo
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  4. Varun Khanna
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  5. Nikolai Petrovsky
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Correspondence to Nikolai Petrovsky .

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  1. School of Medicine, Department of Immunology, Complutense University of Madrid, Madrid, Spain

    Pedro A. Reche

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Piplani, S., Winkler, D., Honda-Okubo, Y., Khanna, V., Petrovsky, N. (2023). In Silico Structure-Based Vaccine Design. In: Reche, P.A. (eds) Computational Vaccine Design. Methods in Molecular Biology, vol 2673. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3239-0_26

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  • DOI: https://doi.org/10.1007/978-1-0716-3239-0_26

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