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Biochimie
Article
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Biochimie
Article . 2016 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2016
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Global analysis of VHHs framework regions with a structural alphabet

Authors: Floriane Noël; Alain Malpertuy; Alexandre G. de Brevern;

Global analysis of VHHs framework regions with a structural alphabet

Abstract

The VHHs are antigen-binding region/domain of camelid heavy chain antibodies (HCAb). They have many interesting biotechnological and biomedical properties due to their small size, high solubility and stability, and high affinity and specificity for their antigens. HCAb and classical IgGs are evolutionary related and share a common fold. VHHs are composed of regions considered as constant, called the frameworks (FRs) connected by Complementarity Determining Regions (CDRs), a highly variable region that provide interaction with the epitope. Actually, no systematic structural analyses had been performed on VHH structures despite a significant number of structures. This work is the first study to analyse the structural diversity of FRs of VHHs. Using a structural alphabet that allows approximating the local conformation, we show that each of the four FRs do not have a unique structure but exhibit many structural variant patterns. Moreover, no direct simple link between the local conformational change and amino acid composition can be detected. These results indicate that long-range interactions affect the local conformation of FRs and impact the building of structural models.

Keywords

Models, Molecular, Camelus, Sequence Homology, Amino Acid, Immunoglobulin Variable Region, Biomolecules (q-bio.BM), Crystallography, X-Ray, Quantitative Biology - Quantitative Methods, Complementarity Determining Regions, Protein Structure, Secondary, Quantitative Biology - Biomolecules, Protein Domains, Species Specificity, FOS: Biological sciences, Animals, Amino Acid Sequence, Binding Sites, Antibody, Immunoglobulin Heavy Chains, Camelids, New World, Quantitative Methods (q-bio.QM)

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    popularity
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    influence
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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!
19
Top 10%
Average
Average
Green
bronze