The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.
Bispecific antibodies
Open accessAbstract
Bispecific antibodies (bsAbs) combine specificities of two antibodies and simultaneously address different antigens or epitopes. BsAbs with 'two-target' functionality can interfere with multiple surface receptors or ligands associated, for example with cancer, proliferation or inflammatory processes. BsAbs can also place targets into close proximity, either to support protein complex formation on one cell, or to trigger contacts between cells. Examples of 'forced-connection' functionalities are bsAbs that support protein complexation in the clotting cascade, or tumor-targeted immune cell recruiters and/or activators. Following years of research and development (R&D), the first bsAb was approved in 2009. Another bsAb entered the market in December 2014 and several more are in clinical trials. Here, we describe the potentials of bsAbs to become the next wave of antibody-based therapies, focusing on molecules in clinical development.
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
Slamon, D. J., Clark, G. M., Wong, S. G., Levin, W. J., Ullrich, A., & McGuire, W. L. (1987) · Science · doi:10.1126/science.3798106 · Cited by 11,760
The biology of VEGF and its receptors
Ferrara, N., Gerber, H.-P., & LeCouter, J. (2003) · Nature Medicine · doi:10.1038/nm0603-669 · Cited by 9,591
Untangling the ErbB signalling network
Yarden, Y., & Sliwkowski, M. X. (2001) · Nature Reviews Molecular Cell Biology · doi:10.1038/35052073 · Cited by 6,974
Kerbel, R. S. (2008) · New England Journal of Medicine · doi:10.1056/nejmra0706596 · Cited by 1,948
Tumor Regression in Cancer Patients by Very Low Doses of a T Cell–Engaging Antibody
Bargou, R., Leo, E., Zugmaier, G., Klinger, M., Goebeler, M., Knop, S., Noppeney, R., Viardot, A., Hess, G., Schuler, M., et al. (2008) · Science · doi:10.1126/science.1158545 · Cited by 1,078
Holbro, T., Beerli, R. R., Maurer, F., Koziczak, M., Barbas, C. F., & Hynes, N. E. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1537685100 · Cited by 950
"Diabodies": small bivalent and bispecific antibody fragments.
Holliger, P., Prospero, T., & Winter, G. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.14.6444 · Cited by 874
‘Knobs-into-holes’ engineering of antibody CH3 domains for heavy chain heterodimerization
Ridgway, J. B. B., Presta, L. G., & Carter, P. (1996) · "Protein Engineering, Design and Selection" · doi:10.1093/protein/9.7.617 · Cited by 810
Topp, M. S., Gökbuget, N., Zugmaier, G., Klappers, P., Stelljes, M., Neumann, S., Viardot, A., Marks, R., Diedrich, H., Faul, C., et al. (2014) · Journal of Clinical Oncology · doi:10.1200/jco.2014.56.3247 · Cited by 658
Bispecific T-Cell Engaging Antibodies for Cancer Therapy
Baeuerle, P. A., & Reinhardt, C. (2009) · Cancer Research · doi:10.1158/0008-5472.can-09-0547 · Cited by 592
Cited by
The IL-17 Family of Cytokines in Health and Disease
McGeachy, M. J., Cua, D. J., & Gaffen, S. L. (2019) · Immunity · doi:10.1016/j.immuni.2019.03.021 · Cited by 1,443
Strategies for delivering therapeutics across the blood–brain barrier
Terstappen, G. C., Meyer, A. H., Bell, R. D., & Zhang, W. (2021) · Nature Reviews Drug Discovery · doi:10.1038/s41573-021-00139-y · Cited by 1,138
Combination cancer immunotherapies tailored to the tumour microenvironment
Smyth, M. J., Ngiow, S. F., Ribas, A., & Teng, M. W. L. (2016) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2015.209 · Cited by 944
Exploring the next generation of antibody–drug conjugates
Tsuchikama, K., Anami, Y., Ha, S. Y. Y., & Yamazaki, C. M. (2024) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-023-00850-2 · Cited by 659
Development of immuno-oncology drugs — from CTLA4 to PD1 to the next generations
Hoos, A. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2015.35 · Cited by 601
Metadata
- Authors
- Kontermann, R. E., & Brinkmann, U.
- Venue
- Drug Discovery Today
- Publisher
- Elsevier BV
- Published
- 2015-07
- Volume
- 20
- Issue
- 7
- Pages
- 838-847
- ISSN
- 1359-6446 (ISSN-L)
- OpenAlex
- W4230744147
- Cited by
- 578
- References
- 76
- FWCI
- 50.01
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Bispecific antibodies. https://app.cochat.ai/papers/10.1016/j.drudis.2015.02.008
- The paper
- Kontermann, R. E., & Brinkmann, U. (2015). Bispecific antibodies. Drug Discovery Today. https://doi.org/10.1016/j.drudis.2015.02.008
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.