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Entity

Name
5288811
Namespace
PUBCHEM
Namespace Version
None
Pattern
^\d+$

Appears in Networks 2

In-Edges 0

Out-Edges 5

a(PUBCHEM:5288811) decreases act(a(MESH:"alpha7 Nicotinic Acetylcholine Receptor")) View Subject | View Object

The currents induced by B-973 alone arise from the α7 receptor since methyllycaconitine blocks them nearly completely (Fig. 7C and Fig. S6) PubMed:28132910

a(PUBCHEM:5288811) causesNoChange act(a(CHEBI:nicotine)) View Subject | View Object

This conclusion is based on the fact that the stimulus effects of nicotine are convincingly blocked by (a) mecamylamine, a voltage dependent noncompetitive channel blocker at nicotinic receptors (Fig. 3; Table 4) and (b) dihydro-β-erythrodine (DHβE), a nicotinic receptor antagonist that shows high affinity for the nAChR α4β2 subunit (Fig. 3; Table 5) but not by methyllycaconitine (MLA), a α7 nicotinic receptor antagonist (Table 5). PubMed:28391535

a(PUBCHEM:5288811) causesNoChange act(a(CHEBI:nicotine)) View Subject | View Object

Table 5 presents results of MLA/(-)-nicotine combination studies and shows that MLA failed to alter the stimulus effects of (-)-nicotine in rats or mice (but see partial antagonism reported by Quarta et al. [126]) PubMed:28391535

a(PUBCHEM:5288811) decreases act(a(MESH:"alpha7 Nicotinic Acetylcholine Receptor")) View Subject | View Object

This conclusion is based on the fact that the stimulus effects of nicotine are convincingly blocked by (a) mecamylamine, a voltage dependent noncompetitive channel blocker at nicotinic receptors (Fig. 3; Table 4) and (b) dihydro-β-erythrodine (DHβE), a nicotinic receptor antagonist that shows high affinity for the nAChR α4β2 subunit (Fig. 3; Table 5) but not by methyllycaconitine (MLA), a α7 nicotinic receptor antagonist (Table 5). PubMed:28391535

a(PUBCHEM:5288811) decreases act(a(MESH:"alpha7 Nicotinic Acetylcholine Receptor")) View Subject | View Object

Its biochemical pharmacology indicates that it is a relatively potent competitive receptor antagonist that is selective for α7 nAChRs (e.g., [139–141]). PubMed:28391535

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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.