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Article . 2009
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[Bispecific antibodies: what future?].

Authors: Pèlegrin, André; Robert, Bruno;

[Bispecific antibodies: what future?].

Abstract

Monoclonal antibodies have emerged as a very successful class of therapeutic agents. In their native format, monoclonal antibodies are monospecific in that they recognize only one epitope, but their Fc domain also binds to FcfR-expressing cells. Attempts to improve the cytotoxicity of antibodies, particularly in the cancer field, have led to the design of bispecific antibodies: this can occur through various strategies, such as quadroma, thioether-linked Fab' gamma fragments or genetic engineering. Such bispecific antibodies have been developped to enhance immunotherapy, by bridging tumor cells and T cells, or radioimmunotherapy by combining bispecific antibodies and radiolabeled bivalent haptens that bind cooperatively to target cells. Multiple further applications can be envisaged such as targeting two different antigens on the same cell, or two epitopes of the same antigen. Although progresses have been slowed by technical constraints, there is little doubt that this class of novel antibodies derivatives will experience a promising development.

Country
France
Keywords

[SDV.IB] Life Sciences [q-bio]/Bioengineering, Antibody-Dependent Cell Cytotoxicity, Biotin, Antineoplastic Agents, Avidin, Protein Engineering, [SDV.BIO] Life Sciences [q-bio]/Biotechnology, Neoplasm Proteins, Epitopes, Structure-Activity Relationship, [INFO.INFO-BT] Computer Science [cs]/Biotechnology, Drug Delivery Systems, [SDV.CAN] Life Sciences [q-bio]/Cancer, Antibody Specificity, Drug Design, Neoplasms, Antibodies, Bispecific, Humans, Haptens, Immunoglobulin Fragments, Forecasting

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Related to Research communities
Cancer Research