Structural Preferences and ADMET Regulation of Fluorinated Small-Molecule Drugs.

Shuai Tao, Lijie Wei, Yichu Wu, Xiang Lian, Jingjing Wu, Yiwei Liu, Fanhong Wu

Abstract read

In one paragraph

Article in ACS medicinal chemistry letters, 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

7 authors.

Shuai TaoFaculty of Chemical Engineering and Energy Technology, Shanghai Institute of Technology, Shanghai 201418, China.

Lijie WeiFaculty of Chemical Engineering and Energy Technology, Shanghai Institute of Technology, Shanghai 201418, China.

Yichu WuFaculty of Chemical Engineering and Energy Technology, Shanghai Institute of Technology, Shanghai 201418, China.

Xiang LianFaculty of Chemical Engineering and Energy Technology, Shanghai Institute of Technology, Shanghai 201418, China.ORCID https://orcid.org/0000-0002-9375-9862

Jingjing WuFaculty of Chemical Engineering and Energy Technology, Shanghai Institute of Technology, Shanghai 201418, China.ORCID https://orcid.org/0000-0002-5733-7670

Yiwei LiuFaculty of Chemical Engineering and Energy Technology, Shanghai Institute of Technology, Shanghai 201418, China.ORCID https://orcid.org/0000-0002-8812-6163

Fanhong WuFaculty of Chemical Engineering and Energy Technology, Shanghai Institute of Technology, Shanghai 201418, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluorination is a powerful yet highly context-dependent strategy in medicinal chemistry. The F-DrugDatabase comprising 1,789 fluorinated small molecules was constructed, including 430 FDA-approved or marketed drugs. Using Bemis-Murcko scaffold analysis and a matched molecular pair (MMP) "defluorination-hydrogenation" approach, we reveal that 87.7% of fluorinated drugs contain only 1-3 fluorine atoms, with benzene scaffolds dominating (63.5%). Quantitative MMP analysis indicated that the -CF

Indexed as

ADMET predictiondrug-likenessfluorinated drugsmatched molecular pairsmedicinal chemistry

Identifiers

PMID42621483

DOI10.1021/acsmedchemlett.6c00261

PMCPMC13488100

What OpenQuestion holds

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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.