Evidence map›Paper›PMID 42317541›Full record

ReviewBiophysical reviews2026

A quest for greater thermodynamic rigour in the quantitative characterization of protein self-association by direct assessment of sedimentation equilibrium distributions.

Donald J Winzor, Peter R Wills

Erratum issuedAbstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Donald J WinzorSchool of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, Queensland , 4072 Australia.
Peter R WillsDepartment of Physics, University of Auckland, Private Bag 92019, Auckland, New Zealand.ORCID 0000-0002-2670-7624

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Protein self-associationQuantitative characterizationSedimentation equilibriumStatistical mechanicsThermodynamic nonidealityUltracentrifugation

Identifiers

PMID42317541
PMCPMC13272738

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.