complex(p(HGNC:DLG4), p(HGNC:FYN))
In addition, dendritic tau could serve as a protein scaffold to deliver the kinase FYN to postsynaptic sites, where FYN phosphorylates subunit 2 of the NMDA receptor (NR2B; also known as GluN2B), resulting in the stabilization of the interaction of this receptor interaction with postsynaptic density protein 95 (PSD95; also known as DLG4), potentiating glutamatergic signalling and thereby enhancing Aβ toxicity. PubMed:26631930
In addition, dendritic tau could serve as a protein scaffold to deliver the kinase FYN to postsynaptic sites, where FYN phosphorylates subunit 2 of the NMDA receptor (NR2B; also known as GluN2B), resulting in the stabilization of the interaction of this receptor interaction with postsynaptic density protein 95 (PSD95; also known as DLG4), potentiating glutamatergic signalling and thereby enhancing Aβ toxicity. PubMed:26631930
In addition, dendritic tau could serve as a protein scaffold to deliver the kinase FYN to postsynaptic sites, where FYN phosphorylates subunit 2 of the NMDA receptor (NR2B; also known as GluN2B), resulting in the stabilization of the interaction of this receptor interaction with postsynaptic density protein 95 (PSD95; also known as DLG4), potentiating glutamatergic signalling and thereby enhancing Aβ toxicity. PubMed:26631930
In addition, dendritic tau could serve as a protein scaffold to deliver the kinase FYN to postsynaptic sites, where FYN phosphorylates subunit 2 of the NMDA receptor (NR2B; also known as GluN2B), resulting in the stabilization of the interaction of this receptor interaction with postsynaptic density protein 95 (PSD95; also known as DLG4), potentiating glutamatergic signalling and thereby enhancing Aβ toxicity. PubMed:26631930
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.