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Molecular chaperones and proteostasis regulation during redox imbalance 1.0.0

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charles.hoyt@scai.fraunhofer.de at 2019-03-15 15:44:04.795806
Authors
Esther Wollert
Contact
charles.hoyt@scai.fraunhofer.de
License
CC BY 4.0
Copyright
Copyright © 2019 Fraunhofer Institute SCAI, All rights reserved.
Number Nodes
74
Number Edges
100
Number Components
3
Network Density
0.0185116623472788
Average Degree
1.35135135135135
Number Citations
1
Number BEL Errors
0

Content Statistics

Network Overlap

The node-based overlap between this network and other networks is calculated as the Szymkiewicz-Simpson coefficient of their respective nodes. Up to the top 10 are shown below.

Network Overlap
Model systems of protein-misfolding diseases reveal chaperone modifiers of proteotoxicity v1.0.0 24%
Molecular Chaperone Functions in Protein Folding and Proteostasis v1.0.0 21%
Heme Curation v0.0.1-dev 20%
In Vivo and In Vitro Characterization of Antalarmin, a Nonpeptide Corticotropin-Releasing Hormone (CRH) Receptor Antagonist: Suppression of Pituitary ACTH Release and Peripheral Inflammation v1.0.0 20%
The Ubiquitin Proteasome System in Neurodegenerative Diseases: Sometimes the Chicken, Sometimes the Egg v1.0.0 18%
The Biology of Proteostasis in Aging and Disease v1.0.0 16%
Protein aggregation can inhibit clathrin-mediated endocytosis by chaperone competition v1.0.0 15%
Promoting the clearance of neurotoxic proteins in neurodegenerative disorders of ageing v1.0.0 14%
Autophagy and the ubiquitin-proteasome system: collaborators in neuroprotection v1.0.0 11%
A chaperome subnetwork safeguards proteostasis in aging and neurodegenerative disease. v1.0.0 10%

Sample Edges

a(CHEBI:"reactive oxygen species") increases bp(GO:"negative regulation of inflammatory response") View Subject | View Object

Specifically, ROS have been shown to regulate a wide variety of signalling pathways including anti- inflammatory responses and adaptation to hypoxia [77,78], autop- hagy [79], immune cell function [80], cellular differentiation [81], integrins [82], as well as oncogenes signalling [83]. PubMed:24563850

a(CHEBI:"reactive oxygen species") regulates bp(GO:"response to hypoxia") View Subject | View Object

Specifically, ROS have been shown to regulate a wide variety of signalling pathways including anti- inflammatory responses and adaptation to hypoxia [77,78], autop- hagy [79], immune cell function [80], cellular differentiation [81], integrins [82], as well as oncogenes signalling [83]. PubMed:24563850

a(CHEBI:"reactive oxygen species") regulates bp(GO:autophagy) View Subject | View Object

Specifically, ROS have been shown to regulate a wide variety of signalling pathways including anti- inflammatory responses and adaptation to hypoxia [77,78], autop- hagy [79], immune cell function [80], cellular differentiation [81], integrins [82], as well as oncogenes signalling [83]. PubMed:24563850

a(CHEBI:"reactive oxygen species") regulates bp(GO:"leukocyte activation") View Subject | View Object

Specifically, ROS have been shown to regulate a wide variety of signalling pathways including anti- inflammatory responses and adaptation to hypoxia [77,78], autop- hagy [79], immune cell function [80], cellular differentiation [81], integrins [82], as well as oncogenes signalling [83]. PubMed:24563850

a(CHEBI:"reactive oxygen species") regulates bp(GO:"cell differentiation") View Subject | View Object

Specifically, ROS have been shown to regulate a wide variety of signalling pathways including anti- inflammatory responses and adaptation to hypoxia [77,78], autop- hagy [79], immune cell function [80], cellular differentiation [81], integrins [82], as well as oncogenes signalling [83]. PubMed:24563850

Sample Nodes

bp(GO:"inflammatory response")

In-Edges: 55 | Out-Edges: 24 | Explore Neighborhood | Download JSON

bp(GO:"response to oxidative stress")

In-Edges: 15 | Out-Edges: 12 | Explore Neighborhood | Download JSON

bp(GO:aging)

In-Edges: 27 | Out-Edges: 61 | Explore Neighborhood | Download JSON

bp(GO:"apoptotic process")

In-Edges: 94 | Out-Edges: 13 | Explore Neighborhood | Download JSON

bp(GO:"cell death")

In-Edges: 44 | Out-Edges: 5 | Explore Neighborhood | Download JSON

About

BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.

If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.