Evidence map›Paper›PMID 40720516›Full record

ArticleJournal of the American Chemical Society2025

De Novo Design of High-Performance Cortisol Luminescent Biosensors.

Julie Yi-Hsuan Chen, Xue Peng, Chenggang Xi, Gyu Rie Lee, David Baker, Andy Hsien-Wei Yeh

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Protein engineering: status report.Protein engineering, design & selection : PEDS · 2026
    Review
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.

Julie Yi-Hsuan ChenDepartment of Biomolecular Engineering, University of California, Santa Cruz, California 95064, United States.
Xue PengDepartment of Biomolecular Engineering, University of California, Santa Cruz, California 95064, United States.
Chenggang XiDepartment of Biomolecular Engineering, University of California, Santa Cruz, California 95064, United States.
Gyu Rie LeeDepartment of Biochemistry, Institute for Protein Design, and Howard Hughes Medical Institute, University of Washington, Seattle, Washington 98195, United States.
David BakerDepartment of Biochemistry, Institute for Protein Design, and Howard Hughes Medical Institute, University of Washington, Seattle, Washington 98195, United States.
Andy Hsien-Wei YehDepartment of Biomolecular Engineering, University of California, Santa Cruz, California 95064, United States.ORCID 0000-0002-9023-776X

Funding

De novo design of a generalizable protein biosensor platform for point-of-care testingR00EB031913 · NIBIB · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI YEH, HSIEN WEI · 2023 to 2025
$747k
NIBIB NIH HHS R00 EB031913
6 · The paper itself

Abstract

Frequent, reliable cortisol measurement is critical for diagnosing and managing adrenal disorders, stress responses, and circadian rhythm disruptions. However, current cortisol assays or detection methods remain confined to laboratory settings, limiting on-site testing. Protein-based biosensors provide a promising point-of-care (POC) solution, yet no robust, field-ready protein-based cortisol biosensor is available. Here, we de novo design cortisol-inducible dimerization modules and systematically sample their fusions with split luciferase reporters by using a protein structure prediction pipeline. The resulting biosensor, designed straight from the computer, yields over 300-fold luminescent response with picomolar sensitivity and can be rapidly imaged by a standard camera or smartphone. This work highlights the power of computational protein design for developing next-generation protein-based biosensors.

Indexed as

Biosensing TechniquesHydrocortisoneLuminescent MeasurementsHumansHydrocortisone

Identifiers

PMID40720516
PMCPMC13068016

What OpenQuestion holds

Textmetadata
LicenceTDM
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.