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Entity

Name
Receptors, N-Methyl-D-Aspartate
Namespace
mesh
Namespace Version
20180906
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/b46b65c3da259b6e86026514dfececab7c22a11b/external/mesh-names.belns

Appears in Networks 3

In-Edges 2

a(MESH:Nicotine) increases p(MESH:"Receptors, N-Methyl-D-Aspartate") View Subject | View Object

Chronic nicotine treatment also activates the α7 receptors expressed on glutamatergic terminals, increases the release of glutamate (which facilitates the burst firing of VTA DA neurons), increases NMDA receptor activity, and LTP [79], but simultaneosusly induces the desensitisation of the α4β2 receptors on GABAergic terminals. Overall, these effects decrease the inhibition onto DA neurons, and increase DA release in the NAc [82]. PubMed:28901280

a(HBP:"projection domain") association p(MESH:"Receptors, N-Methyl-D-Aspartate") View Subject | View Object

In synapses, the projection domain of tau interacts with protein kinase Fyn (plays an important role during myelination [75]), postsynaptic density protein 95 (PSD-95) [76], and N-methyl-D-aspartate receptors (NMDAR). PubMed:26751493

Appears in Networks:

Out-Edges 2

act(p(MESH:"Receptors, N-Methyl-D-Aspartate")) increases bp(GO:"long-term synaptic potentiation") View Subject | View Object

This depolarization and firing of the DA neurons helps to relieve the divalent cation block of NMDA receptors and, thus, enables the NMDA receptors to participate in long-term synaptic potentiation of glutamatergic afferents onto midbrain dopamine neurons. PubMed:26472524

p(MESH:"Receptors, N-Methyl-D-Aspartate") association a(HBP:"projection domain") View Subject | View Object

In synapses, the projection domain of tau interacts with protein kinase Fyn (plays an important role during myelination [75]), postsynaptic density protein 95 (PSD-95) [76], and N-methyl-D-aspartate receptors (NMDAR). PubMed:26751493

Appears in Networks:

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.