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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Cited by
Sorted by citations
Items 101–122 of 122
Shafaati, M., Jajan, L. H.-G., Ebadi, M., Zarghami, V., & Ghorbani, M. (2024) · World s Poultry Science Journal · doi:10.1080/00439339.2024.2308227 · Cited by 1
“The use of bioinformatics tools in reverse vaccinology aids in designing and manufacturing vaccinations that produce epitope-specific neutralising antibodies (Kazi et al .”
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“Over recent years, the fusion of bioinformatics and immune-informatics methods have played a pivotal role throughout all phases of vaccine research from preclinical studies to clinical trials and post-vaccine assessment (Kazi et al., 2018).”
Immunoinformatics-Based Vaccine Designing
Kothiyal, P., Pant, K., & Singh, P. (2025) · Advances in Science, Technology & Innovation/Advances in science, technology & innovation · doi:10.1007/978-3-031-80973-6_17 · Cited by 1
In Search of the Vaccine Against Chagas Disease: A Tedious Road of More Than 100 Years
Doctorado en Ciencias Biomédicas, X., Domínguez-Guillén, A., López‐Domínguez, J., LADISER, I. Y. B. M., Ochoa‐Martínez, P., LADISER, I. Y. B. M., López‐Monteon, A., LADISER, I. Y. B. M., Ramos-Ligonio, Á., & LADISER, I. Y. B. M. (2021) · Austin Journal of Infectious Diseases · doi:10.26420/austinjinfectdis.2021.1049
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“Peptide vaccines require less time and cost to be produced, can stimulate effective immune response and can target rapidly mutating pathogens [20, 21].”
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“Bioinformatics techniques can help scientists in a variety of biological domains anticipate possibly immunoprotective epitopes in design candidate vaccines, the design of immunodiagnostic modalities, and the production of antibodies (Kazi, Chuah et al. 2018, Shafaghi, Bahadori et al. 2023).”
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“These non-antibiotic strategies offer a promising alternative [ 27].”
Gholami, S., Abadi, A. J. E., Ghiabi, S., Siamian, D., Abdollahi, H., Famili, F., Yousefi, A., & Majidiani, H. (2025) · Journal of Parasitology Research · doi:10.1155/japr/9909421
“Analyzing pathogen protein epitopes elucidates virulence and immune evasion mechanisms, guiding epitope-based vaccine design via reverse vaccinology [43, 44].”
Foroutan, M., Elsheikha, H. M., KarimiPourSaryazdi, A., Ghaffari, A. D., Ghaffarifar, F., & Majidiani, H. (2025) · EXCLI journal · doi:10.17179/excli2025-8304
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MIC13 of Toxoplasma gondii : Potential Gene for Vaccine Candidate—An In Silico Approach
Mohammadi, M. K., & Ghaffari, A. D. (2025) · Journal of Parasitology Research · doi:10.1155/japr/3114690
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Foroutan, M., Karimzadeh‐Soureshjani, E., & Ghaffarifar, F. (2026) · Veterinary Medicine and Science · doi:10.1002/vms3.70807
“Since these methods offer several advantages, including time, effort, and cost efficiency, they are essential as a pre-analysis step before undertaking wet laboratory evaluations (Flower et al. 2010 ; Foroutan et al. 2025b ; Kazi et al. 2018 ; Romano et al. 2011 ).”
InfluentialZhao, W., Hu, K., Ding, F., Yao, X., Xu, L., Liu, B., Guan, S., Chang, Y., Wang, Q., Zhao, Y., et al. (2026) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2026.152429
Immunoinformatics analysis of TgROP5: A step toward Toxoplasma gondii vaccine development
Foroutan, M., Saeedi‐Boroujeni, A., Karimzadeh‐Soureshjani, E., Ghaffarifar, F., KarimiPourSaryazdi, A., & Sadooni, R. (2026) · In Silico Research in Biomedicine · doi:10.1016/j.insi.2026.100409
Niknam, M., Zohrabzadeh, M., Hahashempour, A., Jahromi, A. H., Karbalaee-Alinazari, M.-M., & Hajizade, M. S. (2026) · Bioinformatics and Biology Insights · doi:10.1177/11779322261489936
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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