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.
|Identification of the Tau phosphorylation pattern that drives its aggregation v1.0.0||100%|
|Tau Protein Hyperphosphorylation and Aggregation in Alzheimer’s Disease and Other Tauopathies, and Possible Neuroprotective Strategies v1.0.0||96%|
|Anatabine Attenuates Tau Phosphorylation and Oligomerization in P301S Tau Transgenic Mice v1.0.0||67%|
|Estrogen receptor-α is localized to neurofibrillary tangles in Alzheimer's disease v1.0.0||67%|
|Alzheimer's disease pathological lesions activate the spleen tyrosine kinase. v1.0.0||65%|
|Abnormal Alzheimer-like phosphorylation of tau-protein by cyclin-dependent kinases cdk2 and cdk5 v1.0.0||60%|
|Alzheimer's disease-type neuronal tau hyperphosphorylation induced by A beta oligomers v1.0.0||52%|
|Inert and seed-competent tau monomers suggest structural origins of aggregation v1.0.0||50%|
|Tau Biochemistry v1.2.5||48%|
|Tau oligomers and tau toxicity in neurodegenerative disease v1.0.0||47%|
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.