Evidence map›Paper›PMID 41513854›Full record

ArticleNature chemical biology2026

Directed evolution of functional intrinsically disordered proteins.

Yuefeng Ma, Leshan Yang, Yantong Chen, Michael W Chen, Wen Yu, Yifan Dai

Abstract read
PubMed Publisher
In one paragraph

Article in Nature chemical biology, 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.

Yuefeng MaDepartment of Biomedical Engineering, Washington University in St. Louis, Saint Louis, MO, USA.
Leshan YangDepartment of Biomedical Engineering, Washington University in St. Louis, Saint Louis, MO, USA.
Yantong ChenDepartment of Biomedical Engineering, Washington University in St. Louis, Saint Louis, MO, USA.
Michael W ChenDepartment of Biomedical Engineering, Washington University in St. Louis, Saint Louis, MO, USA.
Wen YuDepartment of Biomedical Engineering, Washington University in St. Louis, Saint Louis, MO, USA.ORCID http://orcid.org/0000-0003-4613-4525
Yifan DaiDepartment of Biomedical Engineering, Washington University in St. Louis, Saint Louis, MO, USA. dyifan@wustl.edu.ORCID http://orcid.org/0000-0002-1009-5790

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Engineering synthetic intrinsically disordered proteins (synIDPs) enables regulation of biomolecular condensation and protein solubility. However, limited understanding of how sequence-dependent interaction cooperativity relates to the fitness impacts of synIDPs on endogenous cellular processes constrains our design capability. Here, to circumvent this design challenge, we present a systematic directed evolution method for the evolution of synIDPs capable of mediating diverse phase behaviors in living cells. The selection methods allow us to evolve a toolbox of synIDPs with distinct phase behaviors and thermoresponsive features in living cells, leading to the evolution of synthetic condensates. The reverse-selection method further allows us to select synIDPs as solubility tags. We demonstrate the applications of the evolved synIDPs in protein circuits to (1) regulate intracellular protein activity and (2) reverse antibiotic resistance. Our systematic evolution and selection strategies provide a versatile platform for developing synIDPs for broad applications in synthetic biology and biotechnology.

Indexed as

Directed Molecular EvolutionIntrinsically Disordered ProteinsProtein EngineeringEscherichia coliSolubilitySynthetic BiologyIntrinsically Disordered Proteins

Identifiers

What OpenQuestion holds

Textmetadata
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.