Evidence map›Paper›PMID 39254158›Full record

ReviewBiomacromolecules2024

Polymers for Disrupting Protein-Protein Interactions: Where Are We and Where Should We Be?

Stephanie P Le, Jithu Krishna, Prachi Gupta, Ranit Dutta, Shanlong Li, Jianhan Chen, S Thayumanavan

Abstract readReview
In one paragraph

Review in Biomacromolecules, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Tuning Polyacrylate Composition to Recognize and Modulate Fluorescent Proteins.Angewandte Chemie (International ed. in English) · 2026
    Article
  5. Review
  6. 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

7 authors.

Stephanie P LeDepartment of Chemistry, University of Massachusetts, Amherst, Amherst, Massachusetts 01003, United States.
Jithu KrishnaDepartment of Chemistry, University of Massachusetts, Amherst, Amherst, Massachusetts 01003, United States.
Prachi GuptaDepartment of Chemistry, University of Massachusetts, Amherst, Amherst, Massachusetts 01003, United States.
Ranit DuttaDepartment of Chemistry, University of Massachusetts, Amherst, Amherst, Massachusetts 01003, United States.ORCID 0000-0002-8674-9826
Shanlong LiDepartment of Chemistry, University of Massachusetts, Amherst, Amherst, Massachusetts 01003, United States.ORCID 0000-0003-3713-2931
Jianhan ChenDepartment of Chemistry, University of Massachusetts, Amherst, Amherst, Massachusetts 01003, United States.ORCID 0000-0002-5281-1150
S ThayumanavanDepartment of Chemistry, University of Massachusetts, Amherst, Amherst, Massachusetts 01003, United States.ORCID 0000-0002-6475-6726

Funding

Protein-Induced Self-Assembly and Disassembly of Nanostructures Based on OligoR35GM136395 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI Sankaran Thayumanavan · 2020 to 2026
$3.5M
Disordered Proteins and Dynamic Interactions in Biology and Diseases.R35GM144045 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI Jianhan Chen · 2022 to 2026
$2.0M
NIGMS NIH HHS R35 GM136395NIGMS NIH HHS R35 GM144045
6 · The paper itself

Abstract

Protein-protein interactions (PPIs) are central to the cellular signaling and regulatory networks that underlie many physiological and pathophysiological processes. It is challenging to target PPIs using traditional small molecule or peptide-based approaches due to the frequent lack of well-defined binding pockets at the large and flat PPI interfaces. Synthetic polymers offer an opportunity to circumvent these challenges by providing unparalleled flexibility in tuning their physiochemical properties to achieve the desired binding properties. In this review, we summarize the current state of the field pertaining to polymer-protein interactions in solution, highlighting various polyelectrolyte systems, their tunable parameters, and their characterization. We provide an outlook on how these architectures can be improved by incorporating sequence control, foldability, and machine learning to mimic proteins at every structural level. Advances in these directions will enable the design of more specific protein-binding polymers and provide an effective strategy for targeting dynamic proteins, such as intrinsically disordered proteins.

Indexed as

PolymersHumansIntrinsically Disordered ProteinsProtein BindingProteinsIntrinsically Disordered ProteinsPolymersProteins

Identifiers

PMID39254158
PMCPMC12023540

What OpenQuestion holds

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Registered trials

None linked

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.