Evidence map›Paper›PMID 36996151›Full record

ArticlePloS one2023

Structural characteristics in network control of molecular multiplex networks.

Cheng Yuan, Zu-Yu Qian, Jie Zhou, Shi-Ming Chen, Sen Nie

Abstract read
In one paragraph

Article in PloS one, 2023. 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

5 authors.

Cheng YuanSchool of Electrical and Automation Engineering, East China Jiaotong University, Nanchang, Jiangxi, People's Republic of China.
Zu-Yu QianSchool of Electrical and Automation Engineering, East China Jiaotong University, Nanchang, Jiangxi, People's Republic of China.
Jie ZhouSchool of Electrical and Automation Engineering, East China Jiaotong University, Nanchang, Jiangxi, People's Republic of China.
Shi-Ming ChenSchool of Electrical and Automation Engineering, East China Jiaotong University, Nanchang, Jiangxi, People's Republic of China.
Sen NieSchool of Electrical and Automation Engineering, East China Jiaotong University, Nanchang, Jiangxi, People's Republic of China.ORCID 0000-0001-5762-869X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous real-world systems can be naturally modeled as multilayer networks, providing an efficient tool to characterize these complex systems. Although recent progress in understanding the controlling of synthetic multiplex networks, how to control real multilayer systems remains poorly understood. Here, we explore the controllability and energy requirement of molecular multiplex networks coupled by transcriptional regulatory network (TRN) and protein-protein interaction (PPI) network from the perspective of network structural characteristics. Our findings reveal that the driver nodes tend to avoid essential or pathogen-related genes. However, imposing external inputs on these essential or pathogen-related genes can remarkably reduce the energy cost, implying their crucial role in network control. Moreover, we find that the minimal driver nodes, as well as the energy required, are associated with disassortative coupling between TRN and PPI networks. Our results provide a comprehensive understanding of the roles of genes in biology and network control across several species.

Indexed as

AlgorithmsProtein Interaction MapsGene Regulatory Networks

Identifiers

PMID36996151
PMCPMC10062666

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.