The DOI matches its Crossref record; 215 of the 215 references it cites were found in a registry or an index.
Modern Subunit Vaccines: Development, Components, and Research Opportunities
Abstract
Traditional vaccines, based on the administration of killed or attenuated microorganisms, have proven to be among the most effective methods for disease prevention. Safety issues related to administering these complex mixtures, however, prevent their universal application. Through identification of the microbial components responsible for protective immunity, vaccine formulations can be simplified, enabling molecular‐level vaccine characterization, improved safety profiles, prospects to develop new high‐priority vaccines (e.g. for HIV, tuberculosis, and malaria), and the opportunity for extensive vaccine component optimization. This subunit approach, however, comes at the expense of decreased immunity, requiring the addition of immunostimulatory agents (adjuvants). As few adjuvants are currently used in licensed vaccines, adjuvant development represents an exciting area for medicinal chemists to play a role in the future of vaccine development. In addition, immune responses can be further customized though optimization of delivery systems, tuning the size of particulate vaccines, targeting specific cells of the immune system (e.g. dendritic cells), and adding components to aid vaccine efficacy in whole immunized populations (e.g. promiscuous T‐helper epitopes). Herein we review the current state of the art and future direction in subunit vaccine development, with a focus on the described components and their potential to steer the immune response toward a desired response.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Mosmann, T. R., & Coffman, R. L. (1989) · Annual Review of Immunology · doi:10.1146/annurev.iy.07.040189.001045 · Cited by 7,692
A Toll-like receptor recognizes bacterial DNA
Hemmi, H., Takeuchi, O., Kawai, T., Kaisho, T., Sato, S., Sanjo, H., Matsumoto, M., Hoshino, K., Wagner, H., Takeda, K., et al. (2000) · Nature · doi:10.1038/35047123 · Cited by 6,491
Recognition of double-stranded RNA and activation of NF-κB by Toll-like receptor 3
Alexopoulou, L., Holt, A. C., Medzhitov, R., & Flavell, R. A. (2001) · Nature · doi:10.1038/35099560 · Cited by 6,129
Korn, T., Bettelli, E., Oukka, M., & Kuchroo, V. K. (2009) · Annual Review of Immunology · doi:10.1146/annurev.immunol.021908.132710 · Cited by 4,873
Species-specific recognition of single-stranded RNA via toll-like receptor 7 and 8
Heil, F., Hemmi, H., Hochrein, H., Ampenberger, F., Kirschning, C., Akira, S., Lipford, G., Wagner, H., & Bauer, S. (2004) · Science · doi:10.1126/science.1093620 · Cited by 3,947
Toll-like receptors and their crosstalk with other innate receptors in infection and immunity
Kawai, T., & Akira, S. (2011) · Immunity · doi:10.1016/j.immuni.2011.05.006 · Cited by 3,658
CpG motifs in bacterial DNA trigger direct B-cell activation
Krieg, A. M., Yi, A.-K., Matson, S., Waldschmidt, T. J., Bishop, G. A., Teasdale, R., Koretzky, G. A., & Klinman, D. M. (1995) · Nature · doi:10.1038/374546a0 · Cited by 3,508
Vaccination with ALVAC and AIDSVAX to Prevent HIV-1 Infection in Thailand
Rerks-Ngarm, S., Pitisuttithum, P., Nitayaphan, S., Kaewkungwal, J., Chiu, J., Paris, R., Premsri, N., Namwat, C., de Souza, M., Adams, E., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0908492 · Cited by 3,034
The structural basis of lipopolysaccharide recognition by the TLR4–MD-2 complex
Park, B. S., Song, D. H., Kim, H. M., Choi, B.-S., Lee, H., & Lee, J.-O. (2009) · Nature · doi:10.1038/nature07830 · Cited by 2,428
Nod2 Is a General Sensor of Peptidoglycan through Muramyl Dipeptide (MDP) Detection
Girardin, S. E., Boneca, I. G., Viala, J., Chamaillard, M., Labigne, A., Thomas, G., Philpott, D. J., & Sansonetti, P. J. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.c200651200 · Cited by 2,408
Cited by
Multifaceted Roles of Disulfide Bonds. Peptides as Therapeutics
Góngora-Benítez, M., Tulla-Puche, J., & Albericio, F. (2014) · Chemical Reviews · doi:10.1021/cr400031z · Cited by 655
Peptide-based synthetic vaccines
Skwarczynski, M., & Toth, I. (2016) · Chemical Science · doi:10.1039/c5sc03892h · Cited by 596
Self-citationAdvance in peptide-based drug development: delivery platforms, therapeutics and vaccines
Xiao, W., Jiang, W., Chen, Z., Huang, Y., Mao, J., Zheng, W., Hu, Y., & Shi, J. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-02107-5 · Cited by 449
Lamichhane, B., Mawad, A. M. M., Saleh, M., Kelley, W. G., Harrington, P. J., Lovestad, C. W., Amezcua, J., Sarhan, M. M., El Zowalaty, M. E., Ramadan, H., et al. (2024) · Antibiotics · doi:10.3390/antibiotics13010076 · Cited by 353
Designing spatial and temporal control of vaccine responses
Roth, G. A., Picece, V. C. T. M., Ou, B. S., Luo, W., Pulendran, B., & Appel, E. A. (2021) · Nature Reviews Materials · doi:10.1038/s41578-021-00372-2 · Cited by 316
Metadata
- Authors
- Moyle, P. M., & Toth, I.
- Venue
- ChemMedChem
- Publisher
- Wiley
- Published
- 2013-01-11
- Volume
- 8
- Issue
- 3
- Pages
- 360-376
- ISSN
- 1860-7179 (ISSN-L)
- 1860-7187
- OpenAlex
- W1976136842
- Cited by
- 464
- References
- 215
- FWCI
- 11.17
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Modern Subunit Vaccines: Development, Components, and Research Opportunities. https://app.cochat.ai/papers/10.1002/cmdc.201200487
- The paper
- Moyle, P. M., & Toth, I. (2013). Modern Subunit Vaccines: Development, Components, and Research Opportunities. ChemMedChem. https://doi.org/10.1002/cmdc.201200487
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.