Evidence map›Paper›PMID 26967624›Full record

ArticlePLoS computational biology2016

Simulation and Theory of Antibody Binding to Crowded Antigen-Covered Surfaces.

Cristiano De Michele, Paolo De Los Rios, Giuseppe Foffi, Francesco Piazza

Abstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Streptavidin-DisplayingSensors (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Affinity Enhancement in Discrete Multivalent MegaMolecules.Chembiochem : a European journal of chemical biology · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Serum immunoglobulin and the threshold of Fc receptor-mediated immune activation.Biochimica et biophysica acta. General subjects · 2023
    Review
  13. Article
  14. Rational nanoparticle design: Optimization using insights from experiments and mathematical models.Journal of controlled release : official journal of the Controlled Release Society · 2023
    Review
  15. Engineered molecular sensors for quantifying cell surface crowding.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors.

Cristiano De MicheleDipartimento di Fisica, "Sapienza" Università di Roma, Roma, Italy.
Paolo De Los RiosInstitute of Theoretical Physics, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Giuseppe FoffiLaboratoire de Physique des Solides (LPS), UMR8502, Université Paris sud, Orsay, France.
Francesco PiazzaUniversité d'Orléans, Centre de Biophysique Moléculaire, CNRS-UPR4301, Orléans, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper we introduce a fully flexible coarse-grained model of immunoglobulin G (IgG) antibodies parametrized directly on cryo-EM data and simulate the binding dynamics of many IgGs to antigens adsorbed on a surface at increasing densities. Moreover, we work out a theoretical model that allows to explain all the features observed in the simulations. Our combined computational and theoretical framework is in excellent agreement with surface-plasmon resonance data and allows us to establish a number of important results. (i) Internal flexibility is key to maximize bivalent binding, flexible IgGs being able to explore the surface with their second arm in search for an available hapten. This is made clear by the strongly reduced ability to bind with both arms displayed by artificial IgGs designed to rigidly keep a prescribed shape. (ii) The large size of IgGs is instrumental to keep neighboring molecules at a certain distance (surface repulsion), which essentially makes antigens within reach of the second Fab always unoccupied on average. (iii) One needs to account independently for the thermodynamic and geometric factors that regulate the binding equilibrium. The key geometrical parameters, besides excluded-volume repulsion, describe the screening of free haptens by neighboring bound antibodies. We prove that the thermodynamic parameters govern the low-antigen-concentration regime, while the surface screening and repulsion only affect the binding at high hapten densities. Importantly, we prove that screening effects are concealed in relative measures, such as the fraction of bivalently bound antibodies. Overall, our model provides a valuable, accurate theoretical paradigm beyond existing frameworks to interpret experimental profiles of antibodies binding to multi-valent surfaces of different sorts in many contexts.

Indexed as

Models, ChemicalModels, ImmunologicalAntigen-Antibody ComplexAntigen-Antibody ReactionsBinding Sites, AntibodyComputer SimulationImmunoglobulin GProtein BindingAntigen-Antibody ComplexImmunoglobulin G

Identifiers

PMID26967624
PMCPMC4788199

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Registered trials

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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.