ReviewBiophysical reviews2026
A quest for greater thermodynamic rigour in the quantitative characterization of protein self-association by direct assessment of sedimentation equilibrium distributions.
Review in Biophysical reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- A historical overview of the need for distinction between the attainment of thermodynamic equilibrium and a kinetic steady state in experimental studies.European biophysics journal : EBJ · 2026Review
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This review summarizes research designed to enhance thermodynamic rigour in the quantitative characterization of protein self-association by direct analysis of sedimentation equilibrium distributions. The effects of thermodynamic nonideality have been incorporated into analytical approaches that not only afford experimental delineation of the monomer thermodynamic activity throughout a sedimentation equilibrium distribution but also take into account the composition dependence of species activity coefficients that arises from their consideration on the statistical-mechanical basis of excluded volume. Allowance for thermodynamic nonideality in terms of nearest-neighbor interactions should suffice for that iterative procedure. Attempts to eliminate the need for iterative analysis by expressing total protein concentration as a virial expansion in monomer activity have met with only limited success. The relevance of these scientific developments to their incorporation into the currently used numerical simulation approaches for the characterization of protein self-association by sedimentation equilibrium is also discussed.
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