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Antibodies in Vivo

Name: Antibodies in Vivo
Creator: Edgar Haber
Keywords: 0301 basic medicine, 0303 health sciences, Adrenergic beta-Antagonists, Myocardial Infarction, Myosins, Ligands, Antibodies, 3. Good health, Radiography, 03 medical and health sciences

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article 01 Mar 1982 English Publisher:Springer USJournal:Pharmacological Reviews, volume 34, pages 77-84 (issn: 0031-6997,

Authors: Edgar Haber;

doi: 10.1007/978-1-4684-4964-8_28 , 10.1016/s0031-6997(25)06737-7

pmid: 6122224

Antibodies in Vivo

- Summary
- Subjects
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Abstract

Of all classes of compounds, antibodies provide the greatest range of specificities and affinities. The number of interatomic interactions between an antibody combining site and a large ligand such as a receptor far exceeds those between the common small ligand or drug and its corresponding binding site.1 As a result, there is increased selectivity and affinity. The very large number of potential antibody specificities provides an opportunity to create a finer degree of selectivity than is possible with simpler compounds. Modern studies in the molecular genetics of antibody synthesis indicate that potentially there are at least ten billion different antibody specificities.2,3 This should permit the selective recognition of any structure within the human body.

Related Organizations

Harvard University
United States
Massachusetts General Hospital
United States

Keywords

Adrenergic beta-Antagonists, Myocardial Infarction, Myosins, Ligands, Antibodies, Radiography, Immunoglobulin Fab Fragments, Immunoglobulin Idiotypes, Antibody Specificity, Isotope Labeling, Hypertension, Receptors, Adrenergic, beta, Renin, Animals, Autoradiography, Humans, Amino Acid Sequence, Binding Sites, Antibody, Radionuclide Imaging

Impact byBIP!

	citations 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).	24
	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.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average