Steady-State-Preserving Simulation of Genetic Regulatory Systems.

Ruqiang Zhang, Julius Osato Ehigie, Xilin Hou, Xiong You, Chunlu Yuan

Abstract read

In one paragraph

Article in Computational and mathematical methods in medicine, 2017. 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.

Ruqiang ZhangCollege of Sciences, Nanjing Agricultural University, Nanjing 210095, China; College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China.ORCID 0000-0002-6459-7294

Julius Osato EhigieCollege of Horticulture, Nanjing Agricultural University, Nanjing 210095, China; Department of Mathematics, University of Lagos, Lagos 23401, Nigeria.ORCID 0000-0002-3159-5743

Xilin HouCollege of Horticulture, Nanjing Agricultural University, Nanjing 210095, China.

Xiong YouCollege of Sciences, Nanjing Agricultural University, Nanjing 210095, China.ORCID 0000-0002-0343-3878

Chunlu YuanCollege of Sciences, Nanjing Agricultural University, Nanjing 210095, China.ORCID 0000-0001-5046-221X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel family of exponential Runge-Kutta (expRK) methods are designed incorporating the stable steady-state structure of genetic regulatory systems. A natural and convenient approach to constructing new expRK methods on the base of traditional RK methods is provided. In the numerical integration of the one-gene, two-gene, and p53-mdm2 regulatory systems, the new expRK methods are shown to be more accurate than their prototype RK methods. Moreover, for nonstiff genetic regulatory systems, the expRK methods are more efficient than some traditional exponential RK integrators in the scientific literature.

Indexed as

Gene Regulatory NetworksAlgorithmsComputational BiologyComputer SimulationHumansModels, GeneticNumerical Analysis, Computer-AssistedProtein BiosynthesisProto-Oncogene Proteins c-mdm2RNA, MessengerSystems BiologyTranscription, GeneticTumor Suppressor Protein p53MDM2 protein, humanProto-Oncogene Proteins c-mdm2RNA, MessengerTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID28203268

DOI10.1155/2017/2729683

PMCPMC5288607

What OpenQuestion holds

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LicenceCC BY

Read underepoch 390

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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.