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

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.

Authors

Institutions

Publication Details

Journal
Biophysical Reviews
Published
2025-12-23
DOI
https://doi.org/10.1007/s12551-025-01371-1
Primary Topic
Protein Interaction Studies and Fluorescence Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Peter R. Wills, Donald Winzor
Biophysical Reviews
Protein Interaction Studies and Fluorescence Analysis
article

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

Peter R. Wills, Donald Winzor
article en

Abstract

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.

Biophysical Reviews
University of Auckland (NZ), Queensland University of Technology (AU), The University of Queensland (AU)
Life in Land
Openalex Percentile: Top 37%
Protein Interaction Studies and Fluorescence Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A quest for greater thermodynamic rigour in the quantitative characterization of protein self-association by direct assessment of sedimentation equilibrium distributions — Peter R. Wills, Donald Winzor · Biophysical Reviews (2025) | TGRS Research Map | TGRS