Evidence map›Paper›PMID 37067466›Full record

ArticleMolecular pharmaceutics2023

Using Cluster Theory to Calculate the Experimental Structure Factors of Antibody Solutions.

Nicholas Skar-Gislinge, Fabrizio Camerin, Anna Stradner, Emanuela Zaccarelli, Peter Schurtenberger

Abstract read
In one paragraph

Article in Molecular pharmaceutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Fab-Fc and Fab-Fab interactions of variable strength and valency contribute to the high concentration viscosity of IgGProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Viscosity of concentrated antibodies from a dynamic model of electrostatics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. 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
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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.

Nicholas Skar-GislingePhysical Chemistry, Department of Chemistry, Lund University, SE-221 00 Lund, Sweden.
Fabrizio CamerinSoft Condensed Matter, Debye Institute for Nanomaterials Science, Utrecht University, Princetonplein 5, 3584 CC Utrecht, The Netherlands.ORCID 0000-0003-2468-9351
Anna StradnerPhysical Chemistry, Department of Chemistry, Lund University, SE-221 00 Lund, Sweden.ORCID 0000-0003-3310-3412
Emanuela ZaccarelliInstitute for Complex Systems, National Research Council (ISC-CNR), Piazzale Aldo Moro 5, 00185 Rome, Italy.ORCID 0000-0003-0032-8906
Peter SchurtenbergerPhysical Chemistry, Department of Chemistry, Lund University, SE-221 00 Lund, Sweden.ORCID 0000-0002-2790-8831

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monoclonal antibody solutions are set to become a major therapeutic tool in the years to come, capable of targeting various diseases by clever design of their antigen binding site. However, the formulation of stable solutions suitable for patient self-administration typically presents challenges, as a result of the increase in viscosity that often occurs at high concentrations. Here, we establish a link between the microscopic molecular details and the resulting properties of an antibody solution through the characterization of clusters, which arise in the presence of self-associating antibodies. In particular, we find that experimental small-angle X-ray scattering data can be interpreted by means of analytical models previously exploited for the study of polymeric and colloidal objects, based on the presence of such clusters. The latter are determined by theoretical calculations and supported by computer simulations of a coarse-grained minimal model, in which antibodies are treated as Y-shaped colloidal molecules and attractive domains are designed as patches. Using the theoretically predicted cluster size distributions, we are able to describe the experimental structure factors over a wide range of concentration and salt conditions. We thus provide microscopic evidence for the well-established fact that the concentration-dependent increase in viscosity is originated by the presence of clusters. Our findings bring new insights on the self-assembly of monoclonal antibodies, which can be exploited for guiding the formulation of stable and effective antibody solutions.

Indexed as

Antibodies, MonoclonalSodium ChlorideComputer SimulationHumansSolutionsViscosityAntibodies, MonoclonalSodium ChlorideSolutionsantibodiescluster theorycolloidsMonte Carlo simulationspatchy modelssmall-angle X-ray scattering

Identifiers

PMID37067466
PMCPMC10155212

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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.