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New insights into the role of microRNAs and long noncoding RNAs in most common neurodegenerative diseases 1.0.0

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Provenance

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charles.hoyt@scai.fraunhofer.de at 2019-05-15 22:26:57.499874
Authors
Sandra Spalek
Contact
charles.hoyt@scai.fraunhofer.de
License
CC BY 4.0
Copyright
Copyright © 2019 Fraunhofer Institute SCAI, All rights reserved.
Number Nodes
95
Number Edges
180
Number Components
2
Network Density
0.0201567749160134
Average Degree
1.89473684210526
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
Estrogen receptor-α is localized to neurofibrillary tangles in Alzheimer's disease v1.0.0 33%
Identification of a novel aspartic protease (Asp 2) as beta-secretase v1.0.0 30%
Increased NF-κB signalling up-regulates BACE1 expression and its therapeutic potential in Alzheimer's disease. v1.0.0 25%
Inert and seed-competent tau monomers suggest structural origins of aggregation v1.0.0 25%
Structural and functional properties of prefibrillar α-synuclein oligomers v1.0.0 23%
The Ubiquitin Proteasome System in Neurodegenerative Diseases: Sometimes the Chicken, Sometimes the Egg v1.0.0 21%
Effects of peptides derived from BACE1 catalytic domain on APP processing v1.0.0 20%
Pseudophosphorylation of tau at S422 enhances SDS-stable dimer formation and impairs both anterograde and retrograde fast axonal transport. v1.0.0 20%
Chronic Anatabine Treatment Reduces Alzheimer ’ s Disease (AD)-Like Pathology and Improves Socio-Behavioral Deficits in a Transgenic Mouse Model of AD v1.0.0 20%
Posiphen as a candidate drug to lower CSF amyloid precursor protein, amyloid-b peptide and s levels: target engagement, tolerability and pharmacokinetics in humans v0.1.0 18%

Sample Edges

p(HGNC:MAPT) hasVariant p(HGNC:MAPT, pmod(Ph)) View Subject | View Object

p(HGNC:HTT) hasVariant p(HGNC:HTT, var("?")) View Subject | View Object

p(HGNC:SNCA) hasVariant p(HGNC:SNCA, var("?")) View Subject | View Object

p(HGNC:LRRK2) hasVariant p(HGNC:LRRK2, var("p.Gly2019Ser")) View Subject | View Object

p(HGNC:LRRK2) hasVariant p(HGNC:LRRK2, var("?")) View Subject | View Object

Sample Nodes

a(CHEBI:"amyloid-beta")

In-Edges: 423 | Out-Edges: 245 | Children: 5 | Explore Neighborhood | Download JSON

path(MESH:"Alzheimer Disease")

In-Edges: 536 | Out-Edges: 704 | Classes: 5 | Explore Neighborhood | Download JSON

path(MESH:"Huntington Disease")

In-Edges: 24 | Out-Edges: 40 | Explore Neighborhood | Download JSON

path(MESH:"Parkinson Disease")

In-Edges: 68 | Out-Edges: 53 | Explore Neighborhood | Download JSON

p(HGNC:APP)

In-Edges: 106 | Out-Edges: 69 | 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.