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Updated: Feb 23, 2026

Structural Studies of Macromolecules in Solution using Small Angle X-Ray Scattering
Published on: November 5, 2018
2017 publication guidelines for structural modelling of small-angle scattering data from biomolecules in solution: an
Jill Trewhella1, Anthony P Duff2, Dominique Durand3
1School of Life and Environmental Sciences, The University of Sydney, NSW 2006, Australia.
Updated guidelines for biomolecular small-angle scattering (SAS) experiments emphasize data quality and open access. These recommendations aim to improve the evaluation and validity of SAS-derived structural models, supporting integrative structural biology.
Area of Science:
- Structural Biology
- Biophysics
- Biochemistry
Background:
- Preliminary guidelines for biomolecular small-angle scattering (SAS) were established in 2012.
- Biomolecular SAS has seen significant growth, with increasing adoption of these guidelines.
- Integrative/hybrid structural determination is a rapidly expanding field in structural biology.
Purpose of the Study:
- To update and refine guidelines for presenting biomolecular small-angle scattering (SAS) data in publications.
- To recommend the deposition of SAS data and models into public archives.
- To ensure open access for evaluating the quality and validity of SAS experiments and derived models.
Main Methods:
- Review and update of preliminary guidelines for biomolecular small-angle scattering (SAS).
- Consultation with international commissions and expert task forces.
- Recommendation for public data and model deposition.
Main Results:
- Updated guidelines for sample quality, data acquisition, reduction, presentation, validation, and modeling in SAS.
- Emphasis on open access to information for evaluating SAS data and models.
- Recommendation for deposition in public archives.
Conclusions:
- Updated guidelines will enhance the contribution of SAS to integrative structural biology.
- Open access to data and models is crucial for robust structural biology research.
- Adherence to updated guidelines and data deposition will improve the reliability and accessibility of biomolecular structures determined by SAS.
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