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a(HBP:"GTS-21")

Equivalencies: 0 | Classes: 0 | Children: 0 | Explore

Entity

Name
GTS-21
Namespace
HBP
Namespace Version
20181212
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/56d6631d06deeead416b3b5100d3b4b8d88c29c6/export/hbp-names.belns

Appears in Networks 1

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

In-Edges 0

Out-Edges 5

a(HBP:"GTS-21") increases act(a(MESH:"alpha7 Nicotinic Acetylcholine Receptor")) View Subject | View Object

3-(2,4 dimethoxy)-benzylidene-anabaseine, derived from an alkaloid produced by nemertine worms, is a partial agonist at alpha7 nAChRs PubMed:21482353

Appears in Networks:
Annotations
MeSH
Schizophrenia

a(HBP:"GTS-21") increases path(MESH:Attention) View Subject | View Object

It improves sensory inhibition in schizophrenics and also moderately improves their neuropsychological deficits in attention (Olincy et al., 2006) PubMed:21482353

Appears in Networks:
Annotations
MeSH
Schizophrenia

a(HBP:"GTS-21") increases bp(GO:"sensory processing") View Subject | View Object

It improves sensory inhibition in schizophrenics and also moderately improves their neuropsychological deficits in attention (Olincy et al., 2006) PubMed:21482353

Appears in Networks:
Annotations
MeSH
Schizophrenia

a(HBP:"GTS-21") decreases path(MESH:Anhedonia) View Subject | View Object

Clinical ratings of their negative symptoms, particularly anhedonia (absence of a sense of pleasure) and alogia (poverty of content in their speech), also improve during treatment PubMed:21482353

Appears in Networks:
Annotations
MeSH
Schizophrenia

a(HBP:"GTS-21") decreases path(MESH:Aphasia) View Subject | View Object

Clinical ratings of their negative symptoms, particularly anhedonia (absence of a sense of pleasure) and alogia (poverty of content in their speech), also improve during treatment PubMed:21482353

Appears in Networks:
Annotations
MeSH
Schizophrenia

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.