Evidence map›Paper›PMID 31041391›Full record

ArticleACS central science2019

Designing Electrostatic Interactions via Polyelectrolyte Monomer Sequence.

Tyler K Lytle, Li-Wei Chang, Natalia Markiewicz, Sarah L Perry, Charles E Sing

Abstract read
In one paragraph

Article in ACS central science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Article
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  6. Learning nature's assembly language with polymers.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. Exploring the effects of excipients on complex coacervation.Journal of colloid and interface science · 2025
    Article
  11. Review
  12. Review
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  14. Article
  15. Article
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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.

Tyler K LytleDepartment of Chemistry, Department of Chemical and Biomolecular Engineering, and Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
Li-Wei ChangDepartment of Chemical Engineering and Institute for Applied Life Sciences, University of Massachuestts Amherst, Amherst, Massachusetts 01003, United States.
Natalia MarkiewiczDepartment of Chemistry, Department of Chemical and Biomolecular Engineering, and Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
Sarah L PerryDepartment of Chemical Engineering and Institute for Applied Life Sciences, University of Massachuestts Amherst, Amherst, Massachusetts 01003, United States.
Charles E SingDepartment of Chemistry, Department of Chemical and Biomolecular Engineering, and Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Charged polymers are ubiquitous in biological systems because electrostatic interactions can drive complicated structure formation and respond to environmental parameters such as ionic strength and pH. In these systems, function emerges from sophisticated molecular design; for example, intrinsically disordered proteins leverage specific sequences of monomeric charges to control the formation and function of intracellular compartments known as membraneless organelles. The role of a charged monomer sequence in dictating the strength of electrostatic interactions remains poorly understood despite extensive evidence that sequence is a powerful tool biology uses to tune soft materials. In this article, we use a combination of theory, experiment, and simulation to establish the physical principles governing sequence-driven control of electrostatic interactions. We predict how arbitrary sequences of charge give rise to drastic changes in electrostatic interactions and correspondingly phase behavior. We generalize a transfer matrix formalism that describes a phase separation phenomenon known as "complex coacervation" and provide a theoretical framework to predict the phase behavior of charge sequences. This work thus provides insights into both how charge sequence is used in biology and how it could be used to engineer properties of synthetic polymer systems.

Identifiers

PMID31041391
PMCPMC6487445

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.