Evidence map›Paper›PMID 31776263›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Mechanisms of noncanonical binding dynamics in multivalent protein-protein interactions.

Wesley J Errington, Bence Bruncsics, Casim A Sarkar

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
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  4. Multivalency Enables Signal Processing at Single Protein Level.Journal of the American Chemical Society · 2025
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  7. Review
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  19. A quantitative view of strategies to engineer cell-selective ligand binding.Integrative biology : quantitative biosciences from nano to macro · 2021
    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

3 authors.

Wesley J ErringtonDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455-0215.
Bence BruncsicsDepartment of Measurement and Information Systems, Budapest University of Technology and Economics, H-1111 Budapest, Hungary.
Casim A SarkarDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455-0215; csarkar@umn.edu.

Funding

Interplay between signaling and noise in cellular decision makingR01GM113985 · NIGMS · UNIVERSITY OF MINNESOTA · PI SARKAR, CASIM · 2015 to 2019
$1.7M
Rapid discovery of new biologics and cell-surface targets to direct cell behaviorR21EB022258 · NIBIB · UNIVERSITY OF MINNESOTA · PI SARKAR, CASIM · 2016 to 2017
$402k
Biacore T200 surface plasmon resonance instrumentS10OD021539 · OD · UNIVERSITY OF MINNESOTA · PI HAWKINSON, JON E · 2016 to 2016
$344k
NIBIB NIH HHS R21 EB022258NIGMS NIH HHS R01 GM113985NIH HHS S10 OD021539
6 · The paper itself

Abstract

Protein multivalency can provide increased affinity and specificity relative to monovalent counterparts, but these emergent biochemical properties and their mechanistic underpinnings are difficult to predict as a function of the biophysical properties of the multivalent binding partners. Here, we present a mathematical model that accurately simulates binding kinetics and equilibria of multivalent protein-protein interactions as a function of the kinetics of monomer-monomer binding, the structure and topology of the multidomain interacting partners, and the valency of each partner. These properties are all experimentally or computationally estimated a priori, including approximating topology with a worm-like chain model applicable to a variety of structurally disparate systems, thus making the model predictive without parameter fitting. We conceptualize multivalent binding as a protein-protein interaction network: ligand and receptor valencies determine the number of interacting species in the network, with monomer kinetics and structural properties dictating the dynamics of each species. As predicted by the model and validated by surface plasmon resonance experiments, multivalent interactions can generate several noncanonical macroscopic binding dynamics, including a transient burst of high-energy configurations during association, biphasic equilibria resulting from interligand competition at high concentrations, and multiexponential dissociation arising from differential lifetimes of distinct network species. The transient burst was only uncovered when extending our analysis to trivalent interactions due to the significantly larger network, and we were able to predictably tune burst magnitude by altering linker rigidity. This study elucidates mechanisms of multivalent binding and establishes a framework for model-guided analysis and engineering of such interactions.

Indexed as

Models, MolecularComputational BiologyComputer SimulationKineticsProtein BindingProtein Interaction MapsSurface Plasmon Resonancekinetic modelingmultivalencyprotein interaction mapsurface plasmon resonance

Identifiers

PMID31776263
PMCPMC6926015

What OpenQuestion holds

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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.