The DOI matches its Crossref record; 77 of the 80 references it cites were found in a registry or an index.
Current progress of immunoinformatics approach harnessed for cellular- and antibody-dependent vaccine design
Open accessAbstract
Immunoinformatics plays a pivotal role in vaccine design, immunodiagnostic development, and antibody production. In the past, antibody design and vaccine development depended exclusively on immunological experiments which are relatively expensive and time-consuming. However, recent advances in the field of immunological bioinformatics have provided feasible tools which can be used to lessen the time and cost required for vaccine and antibody development. This approach allows the selection of immunogenic regions from the pathogen genomes. The ideal regions could be developed as potential vaccine candidates to trigger protective immune responses in the hosts. At present, epitope-based vaccines are attractive concepts which have been successfully trailed to develop vaccines which target rapidly mutating pathogens. In this article, we provide an overview of the current progress of immunoinformatics and their applications in the vaccine design, immune system modeling and therapeutics.
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“From a therapeutic perspective, knowledge of the epitope can be used for rational design in targeting an immunogenic region for vaccine development [162].”
From Computational approaches to therapeutic antibody design: established methods and emerging trends (2020) · cites this paper as [162]
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1 retracted
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Cited by
Sorted by citations
Computational approaches to therapeutic antibody design: established methods and emerging trends
Norman, R. A., Ambrosetti, F., Bonvin, A. M. J. J., Colwell, L. J., Kelm, S., Kumar, S., & Krawczyk, K. (2020) · Briefings in Bioinformatics · doi:10.1093/bib/bbz095 · Cited by 219
“From a therapeutic perspective, knowledge of the epitope can be used for rational design in targeting an immunogenic region for vaccine development [162].”
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“…with the conventional approaches and there are examples of the successful development of vaccine candidates by adopting in silico approaches (Ada et al., 2018; Bhatnager et al., 2020; He et al., 2010; Kim et al., 2019; Oli et al., 2020; Patronov & Doytchinova, 2013; Tordello et al., 2017…”
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“However, recent advances in the field of immunological bioinformatics have provided feasible tools which can significantly decrease the time and cost required for vaccine development [3,4].”
The advances in brucellosis vaccines
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Metadata
- Authors
- Kazi, A., Chuah, C., Majeed, A. B. A., Leow, C. H., Lim, B. H., & Leow, C. Y.
- Affiliations
- Universiti Sains Malaysia (MY)
- Universiti Teknologi MARA System (MY)
- ,
- Venue
- Pathogens and Global Health
- Publisher
- Informa UK Limited
- Published
- 2018-03-12
- Volume
- 112
- Issue
- 3
- Pages
- 123-131
- ISSN
- 2047-7724 (ISSN-L)
- 2047-7732
- PMC
- PMC6056828
- OpenAlex
- W2789811841
- Cited by
- 122
- References
- 80
- Citations by year
- 2026: 6 · 2025: 19 · 2024: 12 · 2023: 17 · 2022: 9 · 2021: 28 · 2020: 22 · 2019: 6 · 2018: 3
- FWCI
- 5.25
- Type
- journal article
- Language
- en
- Update notices
- correction (2018-04-27)
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Pathogens and Global Health (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Higher Institutions Centre of Excellence Program (311/CIPPM/4401005)
- Fundamental Research Grant Scheme (203/CIPPM/6171199)
- The Malaysian Ministry of Higher Education of the Higher Institutions Centre of Excellence Program (311/CIPPM/4401005)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Immune Systems Applications
- Keywords
- immunoinformatics, vaccine design, antibody design, epitope-based vaccine, immune system modeling, B-cell epitopes
- MeSH terms
- Animals, Epitopes, Humans, Immunity, Cellular, Vaccines, Computational Biology, Drug Discovery, Immunity, Humoral
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