Journal
JOURNAL OF STRUCTURAL BIOLOGY
Volume 215, Issue 4, Pages -Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jsb.2023.108029
Keywords
Self-assembly; SAXS; WAXS; Time-resolved SAXS
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The current challenges of structural biophysics include determining the structure of large self-assembled complexes, resolving the structure of ensembles of complex structures, and unraveling the dynamic pathways and mechanisms leading to the formation of complex structures from their subunits. Modern solution X-ray scattering data provide high-spatial and high-temporal structural data that can address these challenges. However, analyzing solution scattering data is challenging, and various analysis tools have been developed.
The current challenges of structural biophysics include determining the structure of large self-assembled com-plexes, resolving the structure of ensembles of complex structures and their mass fraction, and unraveling the dynamic pathways and mechanisms leading to the formation of complex structures from their subunits. Modern synchrotron solution X-ray scattering data enable simultaneous high-spatial and high-temporal structural data required to address the current challenges of structural biophysics. These data are complementary to crystal-lography, NMR, and cryo-TEM data. However, the analysis of solution scattering data is challenging; hence many different analysis tools, listed in the SAS Portal (http://smallangle.org/), were developed. In this review, we start by briefly summarizing classical X-ray scattering analyses providing insight into fundamental structural and interaction parameters. We then describe recent developments, integrating simulations, theory, and advanced X-ray scattering modeling, providing unique insights into the structure, energetics, and dynamics of self-assembled complexes. The structural information is essential for understanding the underlying physical chemistry principles leading to self-assembled supramolecular architectures and computational structural refinement.
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