Evidence map›Paper›PMID 40341510›Full record

ArticleNature communications2025

Anisotropic DLVO-like interaction for charge patchiness in colloids and proteins.

Andraž Gnidovec, Emanuele Locatelli, Simon Čopar, Anže Božič, Emanuela Bianchi

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Electrostatics and viscosity are strongly linked in concentrated antibody solutions.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Andraž GnidovecFaculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia.
Emanuele LocatelliDepartment of Physics and Astronomy, University of Padova, 35131, Padova, Italy.ORCID http://orcid.org/0000-0002-5507-1282
Simon ČoparFaculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia.ORCID http://orcid.org/0000-0002-7566-0260
Anže BožičDepartment of Theoretical Physics, Jožef Stefan Institute, Jamova 39, SI-1000, Ljubljana, Slovenia.ORCID http://orcid.org/0000-0001-6304-6637
Emanuela BianchiInstitut für Theoretische Physik, TU Wien, Wiedner Hauptstraße 8-10, A-1040, Wien, Austria. emanuela.bianchi@tuwien.ac.at.ORCID http://orcid.org/0000-0002-3282-1087

Funding

Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung) Y-1163-N27
6 · The paper itself

Abstract

The behaviour and stability of soft and biological matter depend significantly on electrostatic interactions, as particles such as proteins and colloids acquire a charge when dispersed in an electrolytic solution. A typical simplification used to understand bulk phenomena involving electrostatic interactions is the isotropy of the charge on the particles. However, whether arising naturally or by synthesis, charge distributions are often inhomogeneous, leading to an intricate particle-particle interaction landscape and complex assembly phenomena. The fundamental complexity of these interactions gives rise to models based on distinct assumptions and varying degrees of simplifications which can blur the line between genuine physical behaviour and artefacts arising from the choice of a particular electrostatic model. Building upon the widely-used linearized Poisson-Boltzmann theory, we propose a theoretical framework that - by bridging different models - provides a robust DLVO-like description of electrostatic interactions between inhomogeneously charged particles. By matching solely the single-particle properties of two different mean-field models, we find a quantitative agreement between the pair interaction energies over a wide range of system parameters. Our work identifies a strategy to merge different models of inhomogeneously charged particles and paves the way to a reliable, accurate, and computationally affordable description of their interactions.

Identifiers

PMID40341510
PMCPMC12062289

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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.