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A Web-Based Method for the Identification of IL6-Based Immunotoxicity in Vaccine Candidates

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Computational Vaccine Design

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

Abstract

Interleukin 6 (IL6) is a major pro-inflammatory cytokine that plays a pivotal role in both innate and adaptive immune responses. In the past, a number of studies reported that high level of IL6 promotes the proliferation of cancer, autoimmune disorders, and cytokine storm in COVID-19 patients. Thus, it is extremely important to identify and remove the antigenic regions from a therapeutic protein or vaccine candidate that may induce IL6-associated immunotoxicity. In order to overcome this challenge, our group has developed a computational tool, IL6pred, for discovering IL6-inducing peptides in a vaccine candidate. The aim of this chapter is to describe the potential applications and methodology of IL6pred. It sheds light on the prediction, designing, and scanning modules of IL6pred webserver and standalone package (https://webs.iiitd.edu.in/raghava/il6pred/).

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Acknowledgment

The authors are thankful to the Department of Bio-Technology (DBT) and Department of Science and Technology (DST-INSPIRE) for fellowships and the financial support and Department of Computational Biology, IIITD, New Delhi, for infrastructure and facilities.

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Author notes

  1. Anjali Dhall and Sumeet Patiyal contributed equally with all other contributors.

Authors and Affiliations

  1. Department of Computational Biology, Indraprastha Institute of Information Technology, New Delhi, India

    Anjali Dhall, Sumeet Patiyal, Neelam Sharma, Salman Sadullah Usmani & Gajendra P. S. Raghava

Authors
  1. Anjali Dhall
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  2. Sumeet Patiyal
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  3. Neelam Sharma
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  4. Salman Sadullah Usmani
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  5. Gajendra P. S. Raghava
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Corresponding author

Correspondence to Gajendra P. S. Raghava .

Editor information

Editors and Affiliations

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

    Pedro A. Reche

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© 2023 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature

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Dhall, A., Patiyal, S., Sharma, N., Usmani, S.S., Raghava, G.P.S. (2023). A Web-Based Method for the Identification of IL6-Based Immunotoxicity in Vaccine Candidates. 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_22

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  • DOI: https://doi.org/10.1007/978-1-0716-3239-0_22

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-3238-3

  • Online ISBN: 978-1-0716-3239-0

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