ArticleMolecules (Basel, Switzerland)2026
A High-Performance and Interpretable p
Hui Shen, Yongquan He, Juefeng Deng, Xiaoying Li, Chenqiang Yang, Dingren Ma, Dehua Xia, Haiying Yu
Abstract read
In one paragraphArticle in Molecules (Basel, Switzerland), 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
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
8 authors.
Hui ShenZhejiang Key Laboratory of Digital Intelligence Monitoring and Restoration of Watershed Environment, College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China.
Yongquan HeChina Energy Conservation and Environmental Protection Group, Techand Environmental Protection Group Co., Ltd., Guangzhou 510330, China.
Juefeng DengChina Energy Conservation and Environmental Protection Group, Techand Environmental Protection Group Co., Ltd., Guangzhou 510330, China.
Xiaoying LiZhejiang Key Laboratory of Digital Intelligence Monitoring and Restoration of Watershed Environment, College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China.
Chenqiang YangZhejiang Key Laboratory of Digital Intelligence Monitoring and Restoration of Watershed Environment, College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China.
Dingren MaZhejiang Key Laboratory of Digital Intelligence Monitoring and Restoration of Watershed Environment, College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China.
Dehua XiaGuangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou 510275, China.
Haiying YuZhejiang Key Laboratory of Digital Intelligence Monitoring and Restoration of Watershed Environment, College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China.ORCID 0000-0002-4253-0144 Funding
National Natural Science Foundation of China 22376189Natural Science Foundation of Zhejiang Province KYZ34425029
6 · The paper itselfAbstract
The acid dissociation constant (p
Indexed as
applicability domaincount-based Morgan fingerprintmachine learningpKa predictionquantitative structure-property relationship
Identifiers
PMID41900060
PMCPMC13029067
What OpenQuestion holds
Textmetadata
LicenceCC BY
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