The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
The making of bispecific antibodies
Open accessAbstract
During the past two decades we have seen a phenomenal evolution of bispecific antibodies for therapeutic applications. The 'zoo' of bispecific antibodies is populated by many different species, comprising around 100 different formats, including small molecules composed solely of the antigen-binding sites of two antibodies, molecules with an IgG structure, and large complex molecules composed of different antigen-binding moieties often combined with dimerization modules. The application of sophisticated molecular design and genetic engineering has solved many of the technical problems associated with the formation of bispecific antibodies such as stability, solubility and other parameters that confer drug properties. These parameters may be summarized under the term 'developability'. In addition, different 'target product profiles', i.e., desired features of the bispecific antibody to be generated, mandates the need for access to a diverse panel of formats. These may vary in size, arrangement, valencies, flexibility and geometry of their binding modules, as well as in their distribution and pharmacokinetic properties. There is not 'one best format' for generating bispecific antibodies, and no single format is suitable for all, or even most of, the desired applications. Instead, the bispecific formats collectively serve as a valuable source of diversity that can be applied to the development of therapeutics for various indications. Here, a comprehensive overview of the different bispecific antibody formats is provided.
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
Topp, M. S., Gökbuget, N., Stein, A. S., Zugmaier, G., O'Brien, S., Bargou, R. C., Dombret, H., Fielding, A. K., Heffner, L., Larson, R. A., et al. (2015) · The Lancet Oncology · doi:10.1016/s1470-2045(14)71170-2 · Cited by 1,269
Alternative molecular formats and therapeutic applications for bispecific antibodies
Spiess, C., Zhai, Q., & Carter, P. J. (2015) · Molecular Immunology · doi:10.1016/j.molimm.2015.01.003 · Cited by 607
Kloepper, J., Riedemann, L., Amoozgar, Z., Seano, G., Susek, K., Yu, V., Dalvie, N., Amelung, R. L., Datta, M., Song, J. W., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1525360113 · Cited by 357
Mack, M., Riethmüller, G., & Kufer, P. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.15.7021 · Cited by 351
Bispecific antibodies for cancer therapy: The light at the end of the tunnel?
Chames, P., & Baty, D. (2009) · mAbs · doi:10.4161/mabs.1.6.10015 · Cited by 336
Alt, N., Zhang, T. Y., Motchnik, P., Taticek, R., Quarmby, V., Schlothauer, T., Beck, H., Emrich, T., & Harris, R. J. (2016) · Biologicals · doi:10.1016/j.biologicals.2016.06.005 · Cited by 294
BiTEs: bispecific antibody constructs with unique anti-tumor activity
Wolf, E., Hofmeister, R., Kufer, P., Schlereth, B., & Baeuerle, P. A. (2005) · Drug Discovery Today · doi:10.1016/s1359-6446(05)03554-3 · Cited by 260
Lindhofer, H., Mocikat, R., Steipe, B., & Thierfelder, S. (1995) · The Journal of Immunology · doi:10.4049/jimmunol.155.1.219 · Cited by 213 · cited 2×
“Preferential pairing of light chains with its corresponding heavy chain was described.(141) Importantly, the heteromeric Fc part allows fractionated purification by protein A chromatography”
BackgroundMethodRossi, E. A., Goldenberg, D. M., Cardillo, T. M., McBride, W. J., Sharkey, R. M., & Chang, C.-H. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0600982103 · Cited by 209
A revival of bispecific antibodies
Kufer, P., Lutterbüse, R., & Baeuerle, P. A. (2004) · Trends in Biotechnology · doi:10.1016/j.tibtech.2004.03.006 · Cited by 157
Cited by
Bispecific antibodies: a mechanistic review of the pipeline
Labrijn, A. F., Janmaat, M. L., Reichert, J. M., & Parren, P. W. H. I. (2019) · Nature Reviews Drug Discovery · doi:10.1038/s41573-019-0028-1 · Cited by 1,303
Nanobodies and nanobody-based human heavy chain antibodies as antitumor therapeutics
Bannas, P., Hambach, J., & Koch-Nolte, F. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.01603 · Cited by 572
“Dimerization of two nanobodies or scFvs can also be achieved by genetic fusion to natural or synthetic dimerization domains (56).”
BackgroundBispecific antibodies: design, therapy, perspectives
Sedykh, S., Prinz, V., Buneva, V., & Nevinsky, G. (2018) · Drug Design, Development and Therapy · doi:10.2147/dddt.s151282 · Cited by 292
A review of bispecific antibodies and antibody constructs in oncology and clinical challenges
Suurs, F. V., Lub-de Hooge, M. N., de Vries, E. G. E., & de Groot, D. J. A. (2019) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2019.04.006 · Cited by 292
Bispecific T cell engagers: an emerging therapy for management of hematologic malignancies
Tian, Z., Liu, M., Zhang, Y., & Wang, X. (2021) · Journal of Hematology & Oncology · doi:10.1186/s13045-021-01084-4 · Cited by 282
Metadata
- Authors
- Brinkmann, U., & Kontermann, R. E.
- Venue
- mAbs
- Publisher
- Informa UK Limited
- Published
- 2017-01-10
- Volume
- 9
- Issue
- 2
- Pages
- 182-212
- ISSN
- 1942-0862 (ISSN-L)
- 1942-0870
- OpenAlex
- W2571138221
- Cited by
- 923
- References
- 12
- FWCI
- 58.31
- Type
- journal article
- Language
- en
- Open access
- gold
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: The making of bispecific antibodies. https://app.cochat.ai/papers/10.1080/19420862.2016.1268307
- The paper
- Brinkmann, U., & Kontermann, R. E. (2017). The making of bispecific antibodies. mAbs. https://doi.org/10.1080/19420862.2016.1268307
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.