In-depth analysis of subclass-specific conformational preferences of IgG antibodies
Open accessAbstract
IgG subclass-specific differences in biological function and in vitro stability are often referred to variations in the conformational flexibility, while this flexibility has rarely been characterized. Here, small-angle X-ray scattering data from IgG1, IgG2 and IgG4 antibodies, which were designed with identical variable regions, were thoroughly analysed by the ensemble optimization method. The extended analysis of the optimized ensembles through shape clustering reveals distinct subclass-specific conformational preferences, which provide new insights for understanding the variations in physical/chemical stability and biological function of therapeutic antibodies. Importantly, the way that specific differences in the linker region correlate with the solution structure of intact antibodies is revealed, thereby visualizing future potential for the rational design of antibodies with designated physicochemical properties and tailored effector functions. In addition, this advanced computational approach is applicable to other flexible multi-domain systems and extends the potential for investigating flexibility in solutions of macromolecules by small-angle X-ray scattering.
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SAXS analysis of identical variable regions from IgG1, IgG2, and IgG4 reveals distinct subclass-specific conformational preferences.
“The ensembles were optimized through shape clustering, revealing distinct subclass-specific conformational preferences.”
From Protein Ensembles: How Does Nature Harness Thermodynamic Fluctuations for Life? The Diverse Functional Roles of Conformational Ensembles in the Cell (2016) · cites this paper as [517]
Differences in the linker region correlate with the solution structure of intact antibodies.
“The specific differences in the linker region correlate with the solution structure of intact antibodies.517”
From Protein Ensembles: How Does Nature Harness Thermodynamic Fluctuations for Life? The Diverse Functional Roles of Conformational Ensembles in the Cell (2016) · cites this paper as [517]
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- Authors
- Tian, X., Vestergaard, B., Thorolfsson, M., Yang, Z., Rasmussen, H. B., & Langkilde, A. E.
- Affiliations
- University of Copenhagen (DK)
- Novo Nordisk (Denmark) (DK)
- Corresponding author
- Langkilde, Annette E.
- Venue
- IUCrJ
- Published
- 2015-01-01
- Volume
- 2
- Issue
- 1
- Pages
- 9-18
- ISSN
- 2052-2525 (ISSN-L)
- PMC
- PMC4285876
- OpenAlex
- W2109167399
- Cited by
- 78
- References
- 46
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 6 · 2023: 5 · 2022: 1 · 2021: 9 · 2020: 10 · 2019: 12 · 2018: 8 · 2017: 5 · 2016: 9 · 2015: 4
- FWCI
- 2.46
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- IUCrJ (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, other-oa)
- Desy Publications Database (Deutsches Elektronen-Synchrotron DESY) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Novo Nordisk
- DanScatt
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Physical Sciences › Materials Science › Materials Chemistry › Enzyme Structure and Function
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Monoclonal and Polyclonal Antibodies Research
- Keywords
- IgG subclasses, IgG1, IgG2, IgG4, ensemble optimization, shape clustering, solution structure, therapeutic antibodies, antibody stability, effector function
About these checks
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