Evidence map›Paper›PMID 42656902›Full record

ArticleJACS Au2026

Fragment Ion Abundance-Based Molecular Networking (FIAMN) Enables Skeleton-Oriented Discovery of Diterpenoids from a Soft Coral.

Zhen Gao, Meng-Jun Wu, Xin-Yuan Zhang, Bi-Xi Tang, Li-Gong Yao, Jia Li, Yi Zang, Min He, Yue-Wei Guo, Xu-Wen Li

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Article in JACS Au, 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

10 authors.

Zhen GaoShandong Laboratory of Yantai Drug Discovery, Bohai Rim Advanced Research Institute for Drug Discovery, Yantai, Shandong 264117, China.
Meng-Jun WuState Key Laboratory of Chemical Biology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Xin-Yuan ZhangState Key Laboratory of Chemical Biology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Bi-Xi TangLingang Laboratory, Shanghai 201203, China.
Li-Gong YaoShandong Laboratory of Yantai Drug Discovery, Bohai Rim Advanced Research Institute for Drug Discovery, Yantai, Shandong 264117, China.
Jia LiShandong Laboratory of Yantai Drug Discovery, Bohai Rim Advanced Research Institute for Drug Discovery, Yantai, Shandong 264117, China.
Yi ZangLingang Laboratory, Shanghai 201203, China.
Min HeShandong Laboratory of Yantai Drug Discovery, Bohai Rim Advanced Research Institute for Drug Discovery, Yantai, Shandong 264117, China.
Yue-Wei GuoShandong Laboratory of Yantai Drug Discovery, Bohai Rim Advanced Research Institute for Drug Discovery, Yantai, Shandong 264117, China.ORCID https://orcid.org/0000-0003-0413-2070
Xu-Wen LiShandong Laboratory of Yantai Drug Discovery, Bohai Rim Advanced Research Institute for Drug Discovery, Yantai, Shandong 264117, China.ORCID https://orcid.org/0000-0001-7919-9726

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mass spectral molecular networking has become an indispensable tool for natural product discovery, yet its performance in distinguishing isomeric structures and recognizing unprecedented carbon skeletons remains challenging, especially for low-signal-to-noise ratio mass spectra. Herein, we introduce Fragment Ion Abundance-Based Molecular Networking (FIAMN), an advanced strategy that complements standard molecular networking by integrating mode-based spectral denoising, fragment ion abundance characterization, and cosine-spectral entropy dual similarity fusion. This integrated workflow enables more reliable skeleton-oriented clustering and preferential identification of novel scaffolds from complex mixtures. Application of FIAMN to the soft coral

Indexed as

antifibrotic activitybiomimetic synthesisditerpenoidsfragment ion abundance-based molecular networkingmyostatinSoft coral

Identifiers

PMID42656902
PMCPMC13508104

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.