The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Antibody Structure and Function: The Basis for Engineering Therapeutics
Open accessAbstract
Antibodies and antibody-derived macromolecules have established themselves as the mainstay in protein-based therapeutic molecules (biologics). Our knowledge of the structure–function relationships of antibodies provides a platform for protein engineering that has been exploited to generate a wide range of biologics for a host of therapeutic indications. In this review, our basic understanding of the antibody structure is described along with how that knowledge has leveraged the engineering of antibody and antibody-related therapeutics having the appropriate antigen affinity, effector function, and biophysical properties. The platforms examined include the development of antibodies, antibody fragments, bispecific antibody, and antibody fusion products, whose efficacy and manufacturability can be improved via humanization, affinity modulation, and stability enhancement. We also review the design and selection of binding arms, and avidity modulation. Different strategies of preparing bispecific and multispecific molecules for an array of therapeutic applications are included.
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Cites
Cancer immunotherapy comes of age
Mellman, I., Coukos, G., & Dranoff, G. (2011) · Nature · doi:10.1038/nature10673 · Cited by 3,893
Trastuzumab emtansine for HER2-positive advanced breast cancer
Verma, S., Miles, D., Gianni, L., Krop, I. E., Welslau, M., Baselga, J., Pegram, M., Oh, D.-Y., Diéras, V., Guardino, E., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1209124 · Cited by 3,834
Molecular mechanisms of T cell co-stimulation and co-inhibition
Chen, L., & Flies, D. B. (2013) · Nature Reviews Immunology · doi:10.1038/nri3405 · Cited by 3,114
FcRn: the neonatal Fc receptor comes of age
Roopenian, D. C., & Akilesh, S. (2007) · Nature Reviews Immunology · doi:10.1038/nri2155 · Cited by 2,346
Nanobodies: natural single-domain antibodies
Muyldermans, S. (2013) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-063011-092449 · Cited by 2,304
Shields, R. L., Lai, J., Keck, R., O'Connell, L. Y., Hong, K., Meng, Y. G., Weikert, S. H. A., & Presta, L. G. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m202069200 · Cited by 1,835
Shinkawa, T., Nakamura, K., Yamane, N., Shoji-Hosaka, E., Kanda, Y., Sakurada, M., Uchida, K., Anazawa, H., Satoh, M., Yamasaki, M., et al. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m210665200 · Cited by 1,413
Replacing the complementarity-determining regions in a human antibody with those from a mouse
Jones, P. T., Dear, P. H., Foote, J., Neuberger, M. S., & Winter, G. (1986) · Nature · doi:10.1038/321522a0 · Cited by 1,406
Wu, T. T., & Kabat, E. A. (1970) · The Journal of Experimental Medicine · doi:10.1084/jem.132.2.211 · Cited by 1,340
Antibody Recognition of a Highly Conserved Influenza Virus Epitope
Ekiert, D. C., Bhabha, G., Elsliger, M.-A., Friesen, R. H. E., Jongeneelen, M., Throsby, M., Goudsmit, J., & Wilson, I. A. (2009) · Science · doi:10.1126/science.1171491 · Cited by 1,326
Cited by
Olsen, T. H., Boyles, F., & Deane, C. M. (2022) · Protein Science · doi:10.1002/pro.4205 · Cited by 319
ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins
Abanades, B., Wong, W. K., Boyles, F., Georges, G., Bujotzek, A., & Deane, C. M. (2023) · Communications Biology · doi:10.1038/s42003-023-04927-7 · Cited by 298
Avidity in antibody effector functions and biotherapeutic drug design
Oostindie, S. C., Lazar, G. A., Schuurman, J., & Parren, P. W. H. I. (2022) · Nature Reviews Drug Discovery · doi:10.1038/s41573-022-00501-8 · Cited by 298
AFsample: improving multimer prediction with AlphaFold using massive sampling
Wallner, B. (2023) · Bioinformatics · doi:10.1093/bioinformatics/btad573 · Cited by 164
ABlooper: fast accurate antibody CDR loop structure prediction with accuracy estimation
Abanades, B., Georges, G., Bujotzek, A., & Deane, C. M. (2022) · Bioinformatics · doi:10.1093/bioinformatics/btac016 · Cited by 157
Metadata
- Authors
- Chiu, M. L., Goulet, D. R., Teplyakov, A., & Gilliland, G. L.
- Venue
- Antibodies
- Publisher
- MDPI AG
- Published
- 2019-12-03
- Volume
- 8
- Issue
- 4
- Pages
- 55
- ISSN
- 2073-4468 (ISSN-L)
- OpenAlex
- W2993866869
- Cited by
- 638
- References
- 47
- FWCI
- 28.20
- Type
- journal article
- Language
- en
- Open access
- gold
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- Chiu, M. L., Goulet, D. R., Teplyakov, A., & Gilliland, G. L. (2019). Antibody Structure and Function: The Basis for Engineering Therapeutics. Antibodies. https://doi.org/10.3390/antib8040055
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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.