Evidence map›Paper›PMID 40041913›Full record

ArticleActa pharmaceutica Sinica. B2025

GSFM: A genome-scale functional module transformation to represent drug efficacy for

Saisai Tian, Xuyang Liao, Wen Cao, Xinyi Wu, Zexi Chen, Jinyuan Lu, Qun Wang, Jinbo Zhang, Luonan Chen, Weidong Zhang

Abstract read
In one paragraph

Article in Acta pharmaceutica Sinica. B, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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.

Saisai TianDepartment of Phytochemistry, School of Pharmacy, Second Military Medical University, Shanghai 200433, China.
Xuyang LiaoState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, China.
Wen CaoDepartment of Phytochemistry, School of Pharmacy, Second Military Medical University, Shanghai 200433, China.
Xinyi WuSchool of Pharmacy, Henan University, Kaifeng 475004, China.
Zexi ChenKey Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Jinyuan LuSchool of Pharmacy, Anhui University of Chinese Medicine, Hefei 230012, China.
Qun WangShanghai Frontiers Science Center of TCM Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Jinbo ZhangDepartment of pharmacy, Tianjin Rehabilitation Center of Joint Logistics Support Force, Tianjin 300110, China.
Luonan ChenKey Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Weidong ZhangDepartment of Phytochemistry, School of Pharmacy, Second Military Medical University, Shanghai 200433, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacotranscriptomic profiles, which capture drug-induced changes in gene expression, offer vast potential for computational drug discovery and are widely used in modern medicine. However, current computational approaches neglected the associations within gene‒gene functional networks and unrevealed the systematic relationship between drug efficacy and the reversal effect. Here, we developed a new genome-scale functional module (GSFM) transformation framework to quantitatively evaluate drug efficacy for

Indexed as

Data transformation strategyDrug efficacyGSFMIn silico drug discoveryMulti-dimensions activities

Identifiers

PMID40041913
PMCPMC11873659

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.