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.
|Estrogen receptor-α is localized to neurofibrillary tangles in Alzheimer's disease v1.0.0||50%|
|Alzheimer's disease pathological lesions activate the spleen tyrosine kinase. v1.0.0||35%|
|Identification of a novel aspartic protease (Asp 2) as beta-secretase v1.0.0||30%|
|Selective activation of α7 nicotinic acetylcholine receptor by PHA-543613 improves Aβ25-35-mediated cognitive deficits in mice v1.0.0||27%|
|Inert and seed-competent tau monomers suggest structural origins of aggregation v1.0.0||25%|
|Nicotinic acetylcholine receptor signalling: roles in Alzheimer's disease and amyloid neuroprotection. v1.0.0||24%|
|Neuronal uptake and propagation of a rare phosphorylated high-molecular-weight tau derived from Alzheimer’s disease brain v1.0.1||24%|
|Neuropathogenic role of adenylate kinase-1 in Aβ-mediated tau phosphorylation via AMPK and GSK3β. v1.0.0||23%|
|Inﬂammasome Involvement in Alzheimer’s Disease v1.0.0||22%|
|Amyloid β oligomers (AβOs) in Alzheimer’s disease v1.0.0||21%|
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.