Open Access
Current Pharmaceutical Design, volume 22, issue 43, pages 6527-6537
Engineered Autonomous Human Variable Domains
2
Biointerfaces Institute
3
University Of Toronto
|
Publication type: Journal Article
Publication date: 2016-09-23
Journal:
Current Pharmaceutical Design
Quartile SCImago
Q2
Quartile WOS
Q3
Impact factor: 3.1
ISSN: 13816128, 18734286
Drug Discovery
Pharmacology
Abstract
The complex multi-chain architecture of antibodies has spurred interest in smaller derivatives that retain specificity but can be more easily produced in bacteria. Domain antibodies consisting of single variable domains are the smallest antibody fragments and have been shown to possess enhanced ability to target epitopes that are difficult to access using multidomain antibodies. However, in contrast to natural camelid antibody domains, human variable domains typically suffer from low stability and high propensity to aggregate.This review summarizes strategies to improve the biophysical properties of heavy chain variable domains from human antibodies with an emphasis on aggregation resistance. Several protein engineering approaches have targeted antibody frameworks and complementarity determining regions to stabilize the native state and prevent aggregation of the denatured state.Recent findings enable the construction of highly diverse libraries enriched in aggregation-resistant variants that are expected to provide binders to diverse antigens. Engineered domain antibodies possess unique advantages in expression, epitope preference and flexibility of formatting over conventional immunoreagents and are a promising class of antibody fragments for biomedical development.
Top-30
Citations by journals
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Frontiers in Immunology
4 publications, 16.67%
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Current Microbiology
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1 publication, 4.17%
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1 publication, 4.17%
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BMC Bioinformatics
1 publication, 4.17%
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Nature Chemical Biology
1 publication, 4.17%
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Journal of Translational Medicine
1 publication, 4.17%
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PLoS ONE
1 publication, 4.17%
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Journal of Pharmaceutical Sciences
1 publication, 4.17%
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Cell
1 publication, 4.17%
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Journal of Molecular Biology
1 publication, 4.17%
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ACS Nano
1 publication, 4.17%
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1 publication, 4.17%
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mAbs
1 publication, 4.17%
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1 publication, 4.17%
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Contrast Media and Molecular Imaging
1 publication, 4.17%
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Advances in Experimental Medicine and Biology
1 publication, 4.17%
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Methods in Molecular Biology
1 publication, 4.17%
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Pharmaceuticals
1 publication, 4.17%
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Russian Chemical Reviews
1 publication, 4.17%
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Citations by publishers
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8
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Springer Nature
8 publications, 33.33%
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Frontiers Media S.A.
4 publications, 16.67%
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Elsevier
3 publications, 12.5%
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Multidisciplinary Digital Publishing Institute (MDPI)
2 publications, 8.33%
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American Chemical Society (ACS)
2 publications, 8.33%
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Public Library of Science (PLoS)
1 publication, 4.17%
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Taylor & Francis
1 publication, 4.17%
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Oxford University Press
1 publication, 4.17%
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Hindawi Limited
1 publication, 4.17%
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Autonomous Non-profit Organization Editorial Board of the journal Uspekhi Khimii
1 publication, 4.17%
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- We do not take into account publications without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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NILVEBRANT J., Tessier P. M., Sidhu S. S. Engineered Autonomous Human Variable Domains // Current Pharmaceutical Design. 2016. Vol. 22. No. 43. pp. 6527-6537.
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NILVEBRANT J., Tessier P. M., Sidhu S. S. Engineered Autonomous Human Variable Domains // Current Pharmaceutical Design. 2016. Vol. 22. No. 43. pp. 6527-6537.
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TY - JOUR
DO - 10.2174/1381612822666160921143011
UR - https://doi.org/10.2174/1381612822666160921143011
TI - Engineered Autonomous Human Variable Domains
T2 - Current Pharmaceutical Design
AU - NILVEBRANT, JOHAN
AU - Tessier, Peter M.
AU - Sidhu, Sachdev S.
PY - 2016
DA - 2016/09/23 00:00:00
PB - Bentham Science
SP - 6527-6537
IS - 43
VL - 22
SN - 1381-6128
SN - 1873-4286
ER -
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BibTex
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@article{2016_NILVEBRANT,
author = {JOHAN NILVEBRANT and Peter M. Tessier and Sachdev S. Sidhu},
title = {Engineered Autonomous Human Variable Domains},
journal = {Current Pharmaceutical Design},
year = {2016},
volume = {22},
publisher = {Bentham Science},
month = {sep},
url = {https://doi.org/10.2174/1381612822666160921143011},
number = {43},
pages = {6527--6537},
doi = {10.2174/1381612822666160921143011}
}
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MLA
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NILVEBRANT, JOHAN, et al. “Engineered Autonomous Human Variable Domains.” Current Pharmaceutical Design, vol. 22, no. 43, Sep. 2016, pp. 6527-6537. https://doi.org/10.2174/1381612822666160921143011.