Evidence map›Paper›PMID 42396021›Full record

ArticleACS omega2026

3D-QSAR Modeling of the Anti-Inflammatory Activity of 28 Rare Biflavones.

Hongling Zheng, Yujia Cao, Fion Wei Lin Chin, Qiuyu Zhang, Ningping Zhan, Molan Zhang, Xin Yang, Joanne Yi Hui Toy, Dejian Huang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 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.

Hongling ZhengDepartment of Food Science and Technology, National University of Singapore; 2 Science Drive 2, Singapore 117542, Republic of Singapore.
Yujia CaoDepartment of Food Science and Technology, National University of Singapore; 2 Science Drive 2, Singapore 117542, Republic of Singapore.ORCID https://orcid.org/0000-0001-9984-3080
Fion Wei Lin ChinDepartment of Food Science and Technology, National University of Singapore; 2 Science Drive 2, Singapore 117542, Republic of Singapore.
Qiuyu ZhangDepartment of Food Science and Technology, National University of Singapore; 2 Science Drive 2, Singapore 117542, Republic of Singapore.
Ningping ZhanDepartment of Food Science and Technology, National University of Singapore; 2 Science Drive 2, Singapore 117542, Republic of Singapore.
Molan ZhangDepartment of Food Science and Technology, National University of Singapore; 2 Science Drive 2, Singapore 117542, Republic of Singapore.
Xin YangDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
Joanne Yi Hui ToyDepartment of Food Science and Technology, National University of Singapore; 2 Science Drive 2, Singapore 117542, Republic of Singapore.ORCID https://orcid.org/0000-0002-3393-4331
Dejian HuangDepartment of Food Science and Technology, National University of Singapore; 2 Science Drive 2, Singapore 117542, Republic of Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammation underlies a wide range of chronic diseases. Current treatments, such as nonsteroidal anti-inflammatory drugs, are effective, but they often result in adverse side effects. This has driven the search for alternative anti-inflammatory agents with improved safety profiles. Biflavones have emerged as promising candidates, yet existing studies primarily focus on naturally occurring biflavones that are limited to those with C3'-C8″ linkages. In this study, we explore the anti-inflammatory potential of 28 biflavones featuring the underexplored C2'-C6″ linkage. Using LPS-induced RAW 264.7 macrophage assays, biflavone

Identifiers

PMID42396021
PMCPMC13325367

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Registered trials

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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.