Evidence map›Paper›PMID 30377881›Full record

ArticleJournal of biological physics2019

Impulsive control of a nonlinear dynamical network and its application to biological networks.

Min Luo, Jianfeng Jiao, Ruiqi Wang

Abstract read
In one paragraph

Article in Journal of biological physics, 2019. 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

3 authors.

Min LuoDepartment of Mathematics, Shanghai University, Shanghai, China.ORCID 0000-0001-7532-7612
Jianfeng JiaoDepartment of Mathematics, Shanghai University, Shanghai, China.
Ruiqi WangDepartment of Mathematics, Shanghai University, Shanghai, China. rqwang@shu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The control of nonlinear dynamical systems is always a notable problem in science. According to control theory, suitable inputs for a controllable dynamical system are critical. Previous studies have shown some principles to determine control nodes and design control function. In this work, we propose a new control strategy of nonlinear systems by constructing impulsive control functions, i.e., we can realize the transition from an undesired state to a desired one by controlling appropriately chosen nodes in a discrete manner. In order to demonstrate the effectiveness of the strategy, we apply it to two biological networks: the epithelial-mesenchymal transition (EMT) network and the Notch1-Dll1-Jag1 signaling pathway. The strategy can not only be used to guide pharmacological design in a more feasible form but can also be applied into the fields of biological, medical and other multistable dynamical systems.

Indexed as

Models, BiologicalNonlinear DynamicsEpithelial-Mesenchymal TransitionJagged-1 ProteinMembrane ProteinsReceptor, Notch1Signal TransductionJagged-1 ProteinMembrane ProteinsReceptor, Notch1Control functionEMT networkImpulsiveNonlinear dynamical systemNotch1–Dll1–Jag1 signaling pathway

Identifiers

PMID30377881
PMCPMC6408570

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.