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complex(p(FPLX:CHRN), p(HGNC:LYNX1))

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Components

Appears in Networks 1

Neural Systems Governed by Nicotinic Acetylcholine Receptors: Emerging Hypotheses v1.0.0

In-Edges 2

act(p(FPLX:CHRN)) association complex(p(FPLX:CHRN), p(HGNC:LYNX1)) View Subject | View Object

As GPI-anchored proteins can bind to transmembrane receptors intracellularly, the interactions of lynx with nAChRs could potentially alter receptor trafficking, stoichiometry, and surface number (Lester et al., 2009) PubMed:21482353

Appears in Networks:

surf(p(FPLX:CHRN)) association complex(p(FPLX:CHRN), p(HGNC:LYNX1)) View Subject | View Object

As GPI-anchored proteins can bind to transmembrane receptors intracellularly, the interactions of lynx with nAChRs could potentially alter receptor trafficking, stoichiometry, and surface number (Lester et al., 2009) PubMed:21482353

Appears in Networks:

Out-Edges 5

complex(p(FPLX:CHRN), p(HGNC:LYNX1)) hasComponent p(HGNC:LYNX1) View Subject | View Object

Appears in Networks:

complex(p(FPLX:CHRN), p(HGNC:LYNX1)) hasComponent p(FPLX:CHRN) View Subject | View Object

Appears in Networks:

complex(p(FPLX:CHRN), p(HGNC:LYNX1)) regulates act(p(FPLX:CHRN)) View Subject | View Object

Proteins that engage nAChRs within stable complexes, such as lynx family members, provide a homeostatic influence over nicotinic receptor systems PubMed:21482353

Appears in Networks:

complex(p(FPLX:CHRN), p(HGNC:LYNX1)) association act(p(FPLX:CHRN)) View Subject | View Object

As GPI-anchored proteins can bind to transmembrane receptors intracellularly, the interactions of lynx with nAChRs could potentially alter receptor trafficking, stoichiometry, and surface number (Lester et al., 2009) PubMed:21482353

Appears in Networks:

complex(p(FPLX:CHRN), p(HGNC:LYNX1)) association surf(p(FPLX:CHRN)) View Subject | View Object

As GPI-anchored proteins can bind to transmembrane receptors intracellularly, the interactions of lynx with nAChRs could potentially alter receptor trafficking, stoichiometry, and surface number (Lester et al., 2009) PubMed:21482353

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.