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Tau oligomers and tau toxicity in neurodegenerative disease 1.0.0

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charles.hoyt@scai.fraunhofer.de at 2019-02-27 16:23:21.465224
Authors
Sandra Spalek
Contact
charles.hoyt@scai.fraunhofer.de
Description
Tau oligomers and tau toxicity in neurodegenerative disease by Ward et al., 2012
License
CC BY 4.0
Copyright
Copyright © 2018 Fraunhofer Institute SCAI, All rights reserved
Number Nodes
30
Number Edges
63
Number Components
1
Network Density
0.0724137931034483
Average Degree
2.1
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
Inert and seed-competent tau monomers suggest structural origins of aggregation v1.0.0 50%
Tau Modifications v1.9.5 47%
Tau Trimers Are the Minimal Propagation Unit Spontaneously Internalized to Seed Intracellular Aggregation v1.0.0 45%
Tau in physiology and pathology v1.0.0 43%
Pseudophosphorylation of tau at S422 enhances SDS-stable dimer formation and impairs both anterograde and retrograde fast axonal transport. v1.0.0 40%
Tau oligomers-Cytotoxicity, propagation, and mitochondrial damage v1.0.0 37%
Estrogen receptor-α is localized to neurofibrillary tangles in Alzheimer's disease v1.0.0 33%
Identification of the Tau phosphorylation pattern that drives its aggregation v1.0.0 31%
Caenorhabditis elegans models of tauopathy v1.0.0 30%
Alzheimer's disease pathological lesions activate the spleen tyrosine kinase. v1.0.0 29%

Sample Edges

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

complex(a(GO:microtubule), a(MESH:Kinesin)) hasComponent a(GO:microtubule) View Subject | View Object

complex(a(GO:microtubule), a(MESH:Kinesin)) hasComponent a(MESH:Kinesin) View Subject | View Object

p(HGNC:MAPT) hasVariant p(HGNC:MAPT, pmod(Ph, Ser, 202)) View Subject | View Object

p(HGNC:MAPT) hasVariant p(HGNC:MAPT, pmod(Ph, Thr, 205)) View Subject | View Object

Sample Nodes

path(MESH:"Alzheimer Disease")

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

p(HGNC:MAPT)

In-Edges: 477 | Out-Edges: 480 | Classes: 11 | Children: 27 | Explore Neighborhood | Download JSON

p(HGNC:MAPT, pmod(Ph))

In-Edges: 201 | Out-Edges: 71 | Classes: 1 | Children: 4 | Explore Neighborhood | Download JSON

a(GO:"neurofibrillary tangle")

In-Edges: 74 | Out-Edges: 61 | Children: 1 | Explore Neighborhood | Download JSON

path(MESH:"Plaque, Amyloid")

In-Edges: 57 | Out-Edges: 32 | 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.