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.
|Inflammasome activation and innate immunity in Alzheimer’s disease v1.0.2||33%|
|Inﬂammasome Involvement in Alzheimer’s Disease v1.0.0||30%|
|The role of inflammasome in Alzheimer’s disease v1.0.3||26%|
|Anatabine ameliorates experimental autoimmune thyroiditis. v1.0.0||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%|
|Structural and functional properties of prefibrillar α-synuclein oligomers v1.0.0||15%|
|Alpha-synuclein oligomers: a new hope v1.0.0||12%|
|Heme Curation v0.0.1-dev||12%|
|Anti-inflammatory activity of anatabine via inhibition of STAT3 phosphorylation v1.0.0||12%|
|Neuronal Nicotinic Acetylcholine Receptor Structure and Function and Response to Nicotine v1.0.1||12%|
RIG-I is widely known as a PRR that senses RNA and that signals via mitochondrial antiviral signalling protein (MAVS) to induce an interferon (IFN) response2, and IFI16 has been suggested to be a DNA sensor that signals via the protein STING (stimulator of IFN genes; also known as TMEM173) to generate an IFN response23.
One checkpoint is that bacterial mRNA from live bacteria (also known as vita-PAMPs)44 activates NLRP3; the other checkpoint is that TLR4- and TRIF (TIR domain-containing adaptor protein inducing IFNβ)-dependent signalling — which is triggered by bacterial lipopolysaccharide (LPS) — mediate the secretion of type I IFNs, inducing pro-caspase 11 expression and activation by triggering the IFNα/β receptor (IFNAR) (FIG. 1).
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.