Evidence map›Paper›PMID 41626190›Full record

ReviewChemical science2026

Traceless linkers used for reversible protein-polymer conjugations.

Douglas A Rose, Zihuan Fu, Mikayla F Tan, Daniele Vinciguerra, Priera H Panescu, Heather D Maynard

Abstract readReview
In one paragraph

Review in Chemical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Douglas A RoseDepartment of Chemistry and Biochemistry, University of California, Los Angeles Los Angeles California 90095 USA hmaynard@ucla.edu.
Zihuan FuDepartment of Chemistry and Biochemistry, University of California, Los Angeles Los Angeles California 90095 USA hmaynard@ucla.edu.ORCID https://orcid.org/0000-0002-6559-0449
Mikayla F TanDepartment of Chemistry and Biochemistry, University of California, Los Angeles Los Angeles California 90095 USA hmaynard@ucla.edu.
Daniele VinciguerraDepartment of Chemistry and Biochemistry, University of California, Los Angeles Los Angeles California 90095 USA hmaynard@ucla.edu.ORCID https://orcid.org/0000-0003-0755-2951
Priera H PanescuDepartment of Chemistry and Biochemistry, University of California, Los Angeles Los Angeles California 90095 USA hmaynard@ucla.edu.
Heather D MaynardDepartment of Chemistry and Biochemistry, University of California, Los Angeles Los Angeles California 90095 USA hmaynard@ucla.edu.ORCID https://orcid.org/0000-0003-3692-6289

Funding

Chemistry Biology Interface Training ProgramT32GM136614 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Patrick G. Harran · 2020 to 2026
$2.8M
NIGMS NIH HHS T32 GM136614
6 · The paper itself

Abstract

Proteins and peptides are an important class of biomolecules employed as therapeutics. Polymer conjugation to therapeutic proteins and peptides can improve their stability and circulation time, as well as reduce aggregation compared to the native biomolecule. However, the steric effect of a large polymer has the potential to drastically reduce or even completely inhibit the bioactivity of the protein. In these cases, traceless and reversible protein-polymer conjugation, in which native protein is released upon exposure to specific stimuli, can be utilized to both mitigate the undesirable effect of conjugation, while also taking advantage of the benefits prior to the cargo delivery. In this review, various linkers used in the reversible conjugations of polymers onto proteins are discussed.

Identifiers

PMID41626190
PMCPMC12857043

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.