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The effective graph reveals redundancy, canalization, and control pathways in biochemical regulation and signaling

Proceedings of the National Academy of Sciences(2021)10.1073/pnas.2022598118Source: DataRank Database

The effective graph reveals redundancy, canalization, and control pathways in biochemical regulation and signaling is a research paper published in Proceedings of the National Academy of Sciences (2021). On theSindex it has a DataRank of 0. It has been cited 81 times.

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Open Access81 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (7 grants)OA: greenTopics (19)IDs (PubMed, PMC)

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Accessible (1/2)

Open Access

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Authors (4)

Rion Brattig Correia ORCID,Xuan Wang ORCID,Luís M. Rocha ORCID,Alexander J. Gates ORCID

Live enrichment

PubMed:33737396 PMC:PMC8000424

CAPES Foundation

Grant: 18668127

Fundacao para a Cinencia e a Tecnologia

Grant: PTDC/MEC-AND/30221/2017

HHS | NIH | U.S. National Library of Medicine

Grant: 01LM011945-01

NSF-NRT

Grant: 1735095

NRT: Interdisciplinary Training in Complex Networks and Systems

NLM NIH HHS

Grant: R01 LM012832

NLM NIH HHS

Grant: R01 LM011945

National Institutes of Health

Grant: 1R01LM012832-01A1

myAURA: Personalized Web Service for Epilepsy Management

greenLicense: https://www.pnas.org/site/aboutpnas/licenses.xhtml

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8000424

publisherhttp://www.pnas.org/syndication/doi/10.1073/pnas.2022598118

publisherhttps://pnas.org/doi/pdf/10.1073/pnas.2022598118

https://doi.org/10.1073/pnas.2022598118

https://www.pnas.org/content/pnas/118/12/e2022598118.full.pdf

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

Biological PhenomenaSignal TransductionModels, BiologicalSoftwareGene Regulatory NetworksMetabolic Networks and Pathways

Keywords

Complex NetworksBoolean NetworkCanalizationBiochemical RegulationGene Regulatory NetworksModels, BiologicalMetabolic Networks and PathwaysSoftwareBiological PhenomenaSignal Transduction