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Appears in Networks 2

Tau Biochemistry v1.2.5

Tau Biochemistry Section of NESTOR

Tau Modifications v1.9.5

Tau Modifications Sections of NESTOR

In-Edges 5

a(MESH:"Receptors, N-Methyl-D-Aspartate") increases act(p(HGNC:RAC1)) View Subject | View Object

CaMKs functionally link NMDA (N-methyl-d-aspartate) receptors to Rac1 activation via the phosphorylation of specific guanine nucleotide exchange factors (GEFs) such as Kalirin-7, TIAM1 and β-PIX PubMed:27796283

Appears in Networks:

act(p(HBP:"Kalirin 7")) increases act(p(HGNC:RAC1)) View Subject | View Object

CaMKs functionally link NMDA (N-methyl-d-aspartate) receptors to Rac1 activation via the phosphorylation of specific guanine nucleotide exchange factors (GEFs) such as Kalirin-7, TIAM1 and β-PIX PubMed:27796283

Appears in Networks:

act(p(HGNC:ARHGEF7)) increases act(p(HGNC:RAC1)) View Subject | View Object

CaMKs functionally link NMDA (N-methyl-d-aspartate) receptors to Rac1 activation via the phosphorylation of specific guanine nucleotide exchange factors (GEFs) such as Kalirin-7, TIAM1 and β-PIX PubMed:27796283

Appears in Networks:

p(HGNC:TIAM1, pmod(Ph)) increases act(p(HGNC:RAC1)) View Subject | View Object

CaMKs functionally link NMDA (N-methyl-d-aspartate) receptors to Rac1 activation via the phosphorylation of specific guanine nucleotide exchange factors (GEFs) such as Kalirin-7, TIAM1 and β-PIX PubMed:27796283

Appears in Networks:

Out-Edges 1

act(p(HGNC:RAC1)) increases bp(GO:"dendritic spine development") View Subject | View Object

Rac1 and RhoA are the best-studied members that regulate spine dynamics; their activation facilitates and prevents dendritic spine formation, respectively PubMed:27796283

Appears in Networks:

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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.