Evidence map›Paper›PMID 42184340›Full record

ArticleJournal of the American Chemical Society2026

AI-Guided

Tatsuki Nonomura, Brendan McKee, Anna Price, Mingguang Cui, Zaynah Yousuf, Faith Tran, Lian He, Tianlu Wang, Yubin Zhou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American Chemical Society, 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

9 authors.

Tatsuki NonomuraCenter for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M University, Houston, Texas 77030, United States.
Brendan McKeeCenter for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M University, Houston, Texas 77030, United States.
Anna PriceCenter for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M University, Houston, Texas 77030, United States.
Mingguang CuiCenter for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M University, Houston, Texas 77030, United States.
Zaynah YousufCenter for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M University, Houston, Texas 77030, United States.
Faith TranCenter for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M University, Houston, Texas 77030, United States.
Lian HeCenter for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M University, Houston, Texas 77030, United States.
Tianlu WangCenter for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M University, Houston, Texas 77030, United States.
Yubin ZhouCenter for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M University, Houston, Texas 77030, United States.ORCID 0000-0001-7962-0517

Funding

Engineering Smart Antibody-like Protein Scaffolds with precision switchesR01GM144986 · NIGMS · TEXAS A&M UNIVERSITY HEALTH SCIENCE CTR · PI ZHOU, YUBIN · 2022 to 2025
$1.3M
NIGMS NIH HHS R01 GM144986
6 · The paper itself

Abstract

Chemically induced proximity (CIP) and chemically disrupted proximity (CDP) technologies have transformed biological research by enabling precise temporal control of protein-protein interactions and cellular functions. However, despite the extensive development of CIP systems, CDP tools with strong translational potential remain comparatively underdeveloped, calling for the need to expand the CDP toolkit. Here, we present a caffeine-operated dissociation system (CODS), a CDP platform activated by caffeine-an inexpensive and widely available small molecule from food or beverages with a well-established safety profile. Using an AI-guided

Indexed as

CaffeineProteinsHumansCaffeineProteins

Identifiers

PMID42184340
PMCPMC13294833

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.